{"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/we-re-not-using-videos-effectively-an-updated","title":"We're Not Using Videos Effectively: An Updated Domain Adaptive Video Segmentation Baseline","arxiv_id":"2402.00868","date":"2024-02-01","proceeding":null,"authors":["Simar Kareer","Vivek Vijaykumar","Harsh Maheshwari","Prithvijit Chattopadhyay","Judy Hoffman","Viraj Prabhu"],"abstract":"There has been abundant work in unsupervised domain adaptation for semantic segmentation (DAS) seeking to adapt a model trained on images from a labeled source domain to an unlabeled target domain. While the vast majority of prior work has studied this as a frame-level Image-DAS problem, a few Video-DAS works have sought to additionally leverage the temporal signal present in adjacent frames. However, Video-DAS works have historically studied a distinct set of benchmarks from Image-DAS, with minimal cross-benchmarking. In this work, we address this gap. Surprisingly, we find that (1) even after carefully controlling for data and model architecture, state-of-the-art Image-DAS methods (HRDA and HRDA+MIC) outperform Video-DAS methods on established Video-DAS benchmarks (+14.5 mIoU on Viper$\\rightarrow$CityscapesSeq, +19.0 mIoU on Synthia$\\rightarrow$CityscapesSeq), and (2) naive combinations of Image-DAS and Video-DAS techniques only lead to marginal improvements across datasets. To avoid siloed progress between Image-DAS and Video-DAS, we open-source our codebase with support for a comprehensive set of Video-DAS and Image-DAS methods on a common benchmark. Code available at https://github.com/SimarKareer/UnifiedVideoDA","url_abs":"https://arxiv.org/abs/2402.00868v3","url_pdf":"https://arxiv.org/pdf/2402.00868v3.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":"we-re-not-using-videos-effectively-an-updated","repo_url":"https://github.com/simarkareer/unifiedvideoda","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}}],"tasks":[{"task_slug":"benchmarking","task_name":"Benchmarking"},{"task_slug":"domain-adaptation","task_name":"Domain Adaptation"},{"task_slug":"semantic-segmentation","task_name":"Semantic Segmentation"},{"task_slug":"unsupervised-domain-adaptation","task_name":"Unsupervised Domain Adaptation"},{"task_slug":"video-segmentation","task_name":"Video Segmentation"},{"task_slug":"video-semantic-segmentation","task_name":"Video Semantic Segmentation"}],"methods":[{"method_slug":"set","method_name":"SET"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2402.00868","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.00868"}},"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/simarkareer/unifiedvideoda","reach":{"status":"ok","spdx":"Apache-2.0"}}],"summary":{"ran":5,"ran_draft_wrong":2,"unverified":1},"by_repo_kind":{"official":{"samples":8,"ran":7,"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":0,"samples":[{"code_sha256_prefix":"a669df2cd07c07bb","entry":"calculate_file_sha256","repo":"simarkareer/unifiedvideoda","repo_kind":"official","path":".dev/gather_models.py","file_url":"https://github.com/simarkareer/unifiedvideoda/blob/HEAD/.dev/gather_models.py","link_basis":"harvester_set","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"a669df2cd07c07bb"}},{"code_sha256_prefix":"903b0922a749302e","entry":"get_backbone_cfg","repo":"simarkareer/unifiedvideoda","repo_kind":"official","path":"experiments.py","file_url":"https://github.com/simarkareer/unifiedvideoda/blob/HEAD/experiments.py","link_basis":"harvester_set","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"903b0922a749302e"}},{"code_sha256_prefix":"88d68650d669bb11","entry":"get_final_iter","repo":"simarkareer/unifiedvideoda","repo_kind":"official","path":".dev/gather_models.py","file_url":"https://github.com/simarkareer/unifiedvideoda/blob/HEAD/.dev/gather_models.py","link_basis":"harvester_set","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"88d68650d669bb11"}},{"code_sha256_prefix":"8a8f2b971ff792d4","entry":"get_model_base","repo":"simarkareer/unifiedvideoda","repo_kind":"official","path":"experiments.py","file_url":"https://github.com/simarkareer/unifiedvideoda/blob/HEAD/experiments.py","link_basis":"harvester_set","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"8a8f2b971ff792d4"}},{"code_sha256_prefix":"7063030b369b4ce1","entry":"get_pretraining_file","repo":"simarkareer/unifiedvideoda","repo_kind":"official","path":"experiments.py","file_url":"https://github.com/simarkareer/unifiedvideoda/blob/HEAD/experiments.py","link_basis":"harvester_set","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"7063030b369b4ce1"}},{"code_sha256_prefix":"4037fd6bcb9ca210","entry":"process_checkpoint","repo":"simarkareer/unifiedvideoda","repo_kind":"official","path":".dev/gather_models.py","file_url":"https://github.com/simarkareer/unifiedvideoda/blob/HEAD/.dev/gather_models.py","link_basis":"harvester_set","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"4037fd6bcb9ca210"}},{"code_sha256_prefix":"8dae673faa871413","entry":"process_model_info","repo":"simarkareer/unifiedvideoda","repo_kind":"official","path":".dev/generate_benchmark_evaluation_script.py","file_url":"https://github.com/simarkareer/unifiedvideoda/blob/HEAD/.dev/generate_benchmark_evaluation_script.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"8dae673faa871413"}},{"code_sha256_prefix":"a559fc6d37ec6446","entry":"check_url","repo":"simarkareer/unifiedvideoda","repo_kind":"official","path":".dev/check_urls.py","file_url":"https://github.com/simarkareer/unifiedvideoda/blob/HEAD/.dev/check_urls.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"a559fc6d37ec6446"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}