{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/bottom-up-and-top-down-attention-for-image","title":"Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering","arxiv_id":"1707.07998","date":"2017-07-25","proceeding":"CVPR 2018 6","authors":["Peter Anderson","Xiaodong He","Chris Buehler","Damien Teney","Mark Johnson","Stephen Gould","Lei Zhang"],"abstract":"Top-down visual attention mechanisms have been used extensively in image\ncaptioning and visual question answering (VQA) to enable deeper image\nunderstanding through fine-grained analysis and even multiple steps of\nreasoning. In this work, we propose a combined bottom-up and top-down attention\nmechanism that enables attention to be calculated at the level of objects and\nother salient image regions. This is the natural basis for attention to be\nconsidered. Within our approach, the bottom-up mechanism (based on Faster\nR-CNN) proposes image regions, each with an associated feature vector, while\nthe top-down mechanism determines feature weightings. Applying this approach to\nimage captioning, our results on the MSCOCO test server establish a new\nstate-of-the-art for the task, achieving CIDEr / SPICE / BLEU-4 scores of\n117.9, 21.5 and 36.9, respectively. Demonstrating the broad applicability of\nthe method, applying the same approach to VQA we obtain first place in the 2017\nVQA Challenge.","url_abs":"http://arxiv.org/abs/1707.07998v3","url_pdf":"http://arxiv.org/pdf/1707.07998v3.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/peteanderson80/bottom-up-attention","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"unanswered"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/BierOne/VQA-AttReg","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/BigRedT/info-ground","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"NOASSERTION"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/Cloud-CV/visual-chatbot","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/Dlut-lab-zmn/Image-Captioning-Attack","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/FJSam/SelfCritical_ImageCaptioning","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/FengSuSky/CCB-VQA","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/JHKim-snu/GVCCI","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/JHKim-snu/PGA","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/SJTU-VLG/ImageCaption-LBPF-qy","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/SatyamGaba/visual_question_answering","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/SatyamGaba/vqa","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/SinghJasdeep/Attention-on-Attention-for-VQA","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/SpencerWhitehead/vqap2","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/ThanThoai/Visual-Question-Answering_Vietnamese","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/VincentYing/Attention-on-Attention-for-VQA","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/Wentong-DST/up-down-captioner","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"caffe2","reach":{"status":"unanswered"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/ZephyrZhuQi/ssbaseline","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"NOASSERTION"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/Zhendong-Wang/arsm_image_captioning","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/airsplay/lxmert","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/alab-nii/eval_vl_glue","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"jax","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/allenai/pythia","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"NOASSERTION"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/batra-mlp-lab/visdial-challenge-starter-pytorch","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/brandontrabucco/up_down_cell","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/brandontrabucco/up_down_rnn_cell","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/chrisc36/bottom-up-attention-vqa","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/facebookresearch/mmf","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"NOASSERTION"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/feifengwhu/question_attention","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/fuqianya/bottom-up-attention-paddle","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"paddle","reach":{"status":"unanswered"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/hengyuan-hu/bottom-up-attention-vqa","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/hjjpku/dynamic_graph_caption","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/jackroos/pythia","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"NOASSERTION"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/jiahuei/COMIC-Compact-Image-Captioning-with-Attention","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/jiahuei/COMIC-Towards-A-Compact-Image-Captioning-Model-with-Attention","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/jiahuei/Self-Critical-SCST-TensorFlow","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/kangkang59812/GraphCaption","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/king-zark/self_critical","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/lauradhatt/Interesting-Reads","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"unanswered"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/leaplabthu/pseudo-q","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/longjj/Caffe-SGDR","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"unanswered"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/marioskatsak/mapert","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/mazm13/Image-to-Tree.pytorch","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/meiqiguo/iccv2021-atypicalitydetection","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/mitjanikolaus/compositional-image-captioning","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/mokhalid-dev/Attention-based-VQA-model","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/nocaps-org/updown-baseline","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/peteanderson80/Up-Down-Captioner","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"caffe2","reach":{"status":"unanswered"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/rishavbb/bottom_up_vqa","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/ronghanghu/pythia","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"NOASSERTION"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/ruotianluo/DiscCaptioning","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/ruotianluo/GoogleConceptualCaptioning","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/ruotianluo/ImageCaptioning.pytorch","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/ruotianluo/Transformer_Captioning","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/ruotianluo/neuraltalk2.pytorch","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/ruotianluo/self-critical.pytorch","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/sgondala/GoogleConceptualCaptioning","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/thilinicooray/Bottom-up-vqa","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/ukyh/switch_disc_caption","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/windweller/PragmaticVQA","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"unanswered"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/xiaobai714/image_caption","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/xuewyang/Fashion_Captioning","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"NOASSERTION"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/yangdsh/VQA-BUTD-demo","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"unanswered"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/yanxinyan1/yxy","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/yifanh1/gqa_pytorch","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"bottom-up-and-top-down-attention-for-image","repo_url":"https://github.com/laihuihui/htc","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"paddle","reach":{"status":"unanswered"}}],"tasks":[{"task_slug":"image-captioning","task_name":"Image Captioning"},{"task_slug":"visual-question-answering-1","task_name":"Visual Question Answering"},{"task_slug":"visual-question-answering","task_name":"Visual Question Answering (VQA)"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/visual-question-answering-on-gqa-test2019","task":"Visual Question Answering (VQA)","dataset":"GQA Test2019","model":"BottomUp","rank_in_archive_order":107,"of":127,"metrics":{"Accuracy":"49.74","Binary":"66.64","Consistency":"78.71","Distribution":"5.98","Open":"34.83","Plausibility":"84.57","Validity":"96.18"},"uses_additional_data":false},{"leaderboard":"/sota/visual-question-answering-on-vqa-v2-test-std","task":"Visual Question Answering (VQA)","dataset":"VQA v2 test-std","model":"Up-Down","rank_in_archive_order":28,"of":38,"metrics":{"overall":"70.34"},"uses_additional_data":false}],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=1707.07998","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1707.07998"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/facebookresearch/mmf","reach":{"status":"ok","spdx":"NOASSERTION"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/feifengwhu/question_attention","reach":{"status":"unanswered"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/meiqiguo/iccv2021-atypicalitydetection","reach":{"status":"unanswered"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/xiaobai714/image_caption","reach":{"status":"unanswered"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/Dlut-lab-zmn/Image-Captioning-Attack","reach":{"status":"unanswered"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/xuewyang/Fashion_Captioning","reach":{"status":"ok","spdx":"NOASSERTION"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/yangdsh/VQA-BUTD-demo","reach":{"status":"unanswered"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/JHKim-snu/GVCCI","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/peteanderson80/bottom-up-attention","reach":{"status":"unanswered"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/batra-mlp-lab/visdial-challenge-starter-pytorch","reach":{"status":"unanswered"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/SinghJasdeep/Attention-on-Attention-for-VQA","reach":{"status":"unanswered"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/peteanderson80/Up-Down-Captioner","reach":{"status":"unanswered"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/Cloud-CV/visual-chatbot","reach":{"status":"unanswered"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/mokhalid-dev/Attention-based-VQA-model","reach":{"status":"unanswered"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/leaplabthu/pseudo-q","reach":{"status":"ok","spdx":"Apache-2.0"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/windweller/PragmaticVQA","reach":{"status":"unanswered"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/alab-nii/eval_vl_glue","reach":{"status":"ok","spdx":"Apache-2.0"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/marioskatsak/mapert","reach":{"status":"unanswered"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/ronghanghu/pythia","reach":{"status":"ok","spdx":"NOASSERTION"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/king-zark/self_critical","reach":{"status":"unanswered"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/yanxinyan1/yxy","reach":{"status":"unanswered"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/ruotianluo/GoogleConceptualCaptioning","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/airsplay/lxmert","reach":{"status":"ok","spdx":"MIT"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/laihuihui/htc","reach":{"status":"unanswered"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/thilinicooray/Bottom-up-vqa","reach":{"status":"unanswered"}}],"summary":{"ran_draft_wrong":8,"ran_violates":1},"by_repo_kind":{"listed":{"samples":8,"ran":8,"repositories":3}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":6,"samples":[{"code_sha256_prefix":"4bd23f3562cfbd1c","entry":"elementwise_logsumexp","repo":"chrisc36/bottom-up-attention-vqa","repo_kind":"listed","path":"vqa_debias_loss_functions.py","file_url":"https://github.com/chrisc36/bottom-up-attention-vqa/blob/HEAD/vqa_debias_loss_functions.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":2,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"GPL-3.0","inline_ok":false,"mcp_get_code":{"code_sha256":"4bd23f3562cfbd1c"}},{"code_sha256_prefix":"20bb0ff4a2d77a03","entry":"attention","repo":"ruotianluo/Transformer_Captioning","repo_kind":"listed","path":"models/TransformerModel.py","file_url":"https://github.com/ruotianluo/Transformer_Captioning/blob/HEAD/models/TransformerModel.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"20bb0ff4a2d77a03"}},{"code_sha256_prefix":"a3722169bbc81569","entry":"clones","repo":null,"repo_kind":null,"path":null,"file_url":null,"link_basis":"identical_code_first_harvested_elsewhere","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":null,"inline_ok":false,"mcp_get_code":{"code_sha256":"a3722169bbc81569"}},{"code_sha256_prefix":"0e2c50fe59debfb7","entry":"convert_sigmoid_logits_to_binary_logprobs","repo":"chrisc36/bottom-up-attention-vqa","repo_kind":"listed","path":"vqa_debias_loss_functions.py","file_url":"https://github.com/chrisc36/bottom-up-attention-vqa/blob/HEAD/vqa_debias_loss_functions.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"GPL-3.0","inline_ok":false,"mcp_get_code":{"code_sha256":"0e2c50fe59debfb7"}},{"code_sha256_prefix":"d2379d710eedc4ae","entry":"pack_wrapper","repo":"kangkang59812/GraphCaption","repo_kind":"listed","path":"models/AttModel.py","file_url":"https://github.com/kangkang59812/GraphCaption/blob/HEAD/models/AttModel.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"d2379d710eedc4ae"}},{"code_sha256_prefix":"bfac58a04b6835f5","entry":"pad_unsort_packed_sequence","repo":"kangkang59812/GraphCaption","repo_kind":"listed","path":"models/AttModel.py","file_url":"https://github.com/kangkang59812/GraphCaption/blob/HEAD/models/AttModel.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"bfac58a04b6835f5"}},{"code_sha256_prefix":"21690a7e909f0f41","entry":"renormalize_binary_logits","repo":"chrisc36/bottom-up-attention-vqa","repo_kind":"listed","path":"vqa_debias_loss_functions.py","file_url":"https://github.com/chrisc36/bottom-up-attention-vqa/blob/HEAD/vqa_debias_loss_functions.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"GPL-3.0","inline_ok":false,"mcp_get_code":{"code_sha256":"21690a7e909f0f41"}},{"code_sha256_prefix":"e56d2f9cbd9cb8b1","entry":"sort_pack_padded_sequence","repo":"kangkang59812/GraphCaption","repo_kind":"listed","path":"models/AttModel.py","file_url":"https://github.com/kangkang59812/GraphCaption/blob/HEAD/models/AttModel.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"e56d2f9cbd9cb8b1"}},{"code_sha256_prefix":"dd03765c7da9ca51","entry":"subsequent_mask","repo":"ruotianluo/Transformer_Captioning","repo_kind":"listed","path":"models/TransformerModel.py","file_url":"https://github.com/ruotianluo/Transformer_Captioning/blob/HEAD/models/TransformerModel.py","link_basis":"first_harvest_node","language":"python","status":"ran_violates","verification_level":1,"contract_check":"VIOLATES","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"dd03765c7da9ca51"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}