{"url":"/task/rgb-t-salient-object-detection","name":"RGB-T Salient Object Detection","slug":"rgb-t-salient-object-detection","description_markdown":"RGB-T Salient Object Detection (SOD) focuses on identifying the most visually prominent objects or regions in a scene using both RGB (color) and thermal imaging data. This technique leverages the complementary strengths of visible and thermal spectrums to enhance the detection of salient objects, particularly useful in challenging visibility conditions such as night, fog, or smoke. Applications of RGB-T SOD are broad and include video/image segmentation, object recognition, visual tracking, and enhanced surveillance systems. Thermal data particularly aids in scenarios where color and texture information is insufficient for accurate detection. This method is also valuable in search and rescue operations, wildlife monitoring, and advanced driver-assistance systems (ADAS). Online benchmark and resources can be accessed at a dedicated platform for further research and development in this area.","categories":[{"name":"Computer Vision","url":"/area/computer-vision"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"derived"},"counts":{"papers_tagged":10,"papers_with_code":6,"benchmarks":0,"benchmark_tables_in_archive":0,"benchmark_tables_shown":0,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":0,"subtasks":0,"parent_tasks":1},"benchmarks":[],"datasets":[],"subtasks":[],"parent_tasks":[{"url":"/task/salient-object-detection-1","name":"Salient Object Detection"}],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":6,"of":6,"tagged_in_all":10,"items":[{"url":"/paper/does-thermal-really-always-matter-for-rgb-t","title":"Does Thermal Really Always Matter for RGB-T Salient Object Detection?","date":"2022-10-09","arxiv_id":"2210.04266","repositories_listed":2,"syntology":null},{"url":"/paper/alignment-free-rgb-t-salient-object-detection","title":"Alignment-Free RGB-T Salient Object Detection: A Large-scale Dataset and Progressive Correlation Network","date":"2024-12-19","arxiv_id":"2412.14576","repositories_listed":1,"syntology":null},{"url":"/paper/cola-conditional-dropout-and-language-driven","title":"CoLA: Conditional Dropout and Language-driven Robust Dual-modal Salient Object Detection","date":"2024-07-09","arxiv_id":"2407.06780","repositories_listed":1,"syntology":{"n":11,"n_ran":8,"n_unverified":3,"n_pointer_only":0}},{"url":"/paper/scribble-supervised-rgb-t-salient-object","title":"Scribble-Supervised RGB-T Salient Object Detection","date":"2023-03-17","arxiv_id":"2303.09733","repositories_listed":1,"syntology":null},{"url":"/paper/swinnet-swin-transformer-drives-edge-aware","title":"SwinNet: Swin Transformer drives edge-aware RGB-D and RGB-T salient object detection","date":"2022-04-12","arxiv_id":"2204.05585","repositories_listed":1,"syntology":null},{"url":"/paper/transcmd-cross-modal-decoder-equipped-with","title":"CAVER: Cross-Modal View-Mixed Transformer for Bi-Modal Salient Object Detection","date":"2021-12-04","arxiv_id":"2112.02363","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_unverified":0,"n_pointer_only":0}}],"syntology_records":2,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}