{"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/multi-view-adversarial-discriminator-mine-the","title":"Multi-view Adversarial Discriminator: Mine the Non-causal Factors for Object Detection in Unseen Domains","arxiv_id":"2304.02950","date":"2023-04-06","proceeding":"CVPR 2023 1","authors":["Mingjun Xu","Lingyun Qin","WeiJie Chen","ShiLiang Pu","Lei Zhang"],"abstract":"Domain shift degrades the performance of object detection models in practical applications. To alleviate the influence of domain shift, plenty of previous work try to decouple and learn the domain-invariant (common) features from source domains via domain adversarial learning (DAL). However, inspired by causal mechanisms, we find that previous methods ignore the implicit insignificant non-causal factors hidden in the common features. This is mainly due to the single-view nature of DAL. In this work, we present an idea to remove non-causal factors from common features by multi-view adversarial training on source domains, because we observe that such insignificant non-causal factors may still be significant in other latent spaces (views) due to the multi-mode structure of data. To summarize, we propose a Multi-view Adversarial Discriminator (MAD) based domain generalization model, consisting of a Spurious Correlations Generator (SCG) that increases the diversity of source domain by random augmentation and a Multi-View Domain Classifier (MVDC) that maps features to multiple latent spaces, such that the non-causal factors are removed and the domain-invariant features are purified. Extensive experiments on six benchmarks show our MAD obtains state-of-the-art performance.","url_abs":"https://arxiv.org/abs/2304.02950v1","url_pdf":"https://arxiv.org/pdf/2304.02950v1.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":"multi-view-adversarial-discriminator-mine-the","repo_url":"https://github.com/k2okoh/mad","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"diversity","task_name":"Diversity"},{"task_slug":"domain-generalization","task_name":"Domain Generalization"},{"task_slug":"object-detection","task_name":"Object Detection"},{"task_slug":"object-detection-1","task_name":"object-detection"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2304.02950","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2304.02950"}},"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":"deterministic:regex_extraction","url":"https://github.com/K2OKOH/MAD","reach":null}],"summary":{"ran":3,"ran_draft_wrong":1,"unverified":1},"by_repo_kind":{"official":{"samples":5,"ran":4,"repositories":1}},"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":5,"samples":[{"code_sha256_prefix":"644c6fab8e48ac8e","entry":"Bottleneck","repo":"K2OKOH/MAD","repo_kind":"official","path":"Pytorch/lib/model/faster_rcnn_MV_3/DA.py","file_url":"https://github.com/K2OKOH/MAD/blob/HEAD/Pytorch/lib/model/faster_rcnn_MV_3/DA.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"mcp_get_code":{"code_sha256":"644c6fab8e48ac8e"}},{"code_sha256_prefix":"3522377aef7a5c40","entry":"GRLayer","repo":"K2OKOH/MAD","repo_kind":"official","path":"Pytorch/lib/model/faster_rcnn_MV_3/DA.py","file_url":"https://github.com/K2OKOH/MAD/blob/HEAD/Pytorch/lib/model/faster_rcnn_MV_3/DA.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"mcp_get_code":{"code_sha256":"3522377aef7a5c40"}},{"code_sha256_prefix":"f43d9fa4d6387293","entry":"_ImageDA_res","repo":"K2OKOH/MAD","repo_kind":"official","path":"Pytorch/lib/model/faster_rcnn_MV_3/DA.py","file_url":"https://github.com/K2OKOH/MAD/blob/HEAD/Pytorch/lib/model/faster_rcnn_MV_3/DA.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"mcp_get_code":{"code_sha256":"f43d9fa4d6387293"}},{"code_sha256_prefix":"abb34bc87e086cd4","entry":"grad_reverse","repo":"K2OKOH/MAD","repo_kind":"official","path":"Pytorch/lib/model/faster_rcnn_MV_3/DA.py","file_url":"https://github.com/K2OKOH/MAD/blob/HEAD/Pytorch/lib/model/faster_rcnn_MV_3/DA.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NOASSERTION","inline_ok":false,"mcp_get_code":{"code_sha256":"abb34bc87e086cd4"}},{"code_sha256_prefix":"20157cea3fe1781e","entry":"ImageLabelResizeLayer","repo":"K2OKOH/MAD","repo_kind":"official","path":"Pytorch/lib/model/faster_rcnn_MV_3/DA.py","file_url":"https://github.com/K2OKOH/MAD/blob/HEAD/Pytorch/lib/model/faster_rcnn_MV_3/DA.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"mcp_get_code":{"code_sha256":"20157cea3fe1781e"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}