{"url":"/dataset/vot2017","name":"VOT2017","full_name":"Visual Object Tracking Challenge","description_markdown":"**VOT2017** is a Visual Object Tracking dataset for different tasks that contains 60 short sequences annotated with 6 different attributes.\r\n\r\nSource: [GradNet: Gradient-Guided Network for Visual Object Tracking](https://arxiv.org/abs/1909.06800)\r\nImage Source: [https://ieeexplore.ieee.org/document/8265440](https://ieeexplore.ieee.org/document/8265440)","description_withheld":null,"homepage":"https://www.votchallenge.net/vot2017/dataset.html","introduced_date":"2017-01-01","introduced_date_note":null,"introduced_by":{"paper":null,"title":"The Visual Object Tracking VOT2017 Challenge Results","first_author":null,"url":"https://doi.org/10.1109/ICCVW.2017.230"},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Videos","url":"/datasets/modality/videos"},{"name":"Tracking","url":"/datasets/modality/tracking"}],"tasks":[{"name":"Object Tracking","url":"/task/object-tracking","datasets_with_task":"/datasets/task/object-tracking"},{"name":"Visual Object Tracking","url":"/task/visual-object-tracking","datasets_with_task":"/datasets/task/visual-object-tracking"}],"languages":[],"variants":["VOT2017/18","VOT2017"],"data_loaders":[],"num_papers_in_archive":56,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/visual-object-tracking-on-vot201718","task":"Visual Object Tracking","dataset_variant":"VOT2017/18","rows":15,"metrics":["Expected Average Overlap (EAO)"],"first_row_in_archive_order":{"model":"SiamMask_E","paper":"/paper/fast-visual-object-tracking-with-rotated","metrics":{"Expected Average Overlap (EAO)":"0.446"},"code_links":[{"title":"baoxinchen/siammask_e","url":"https://github.com/baoxinchen/siammask_e"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/visual-object-tracking-on-vot2017","task":"Visual Object Tracking","dataset_variant":"VOT2017","rows":6,"metrics":["Expected Average Overlap (EAO)"],"first_row_in_archive_order":{"model":"GFS-DCF","paper":"/paper/joint-group-feature-selection-and","metrics":{"Expected Average Overlap (EAO)":"0.397"},"code_links":[{"title":"XU-TIANYANG/GFS-DCF","url":"https://github.com/XU-TIANYANG/GFS-DCF"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/object-tracking-using-siamese-network-based","title":"Object Tracking Using Siamese Network-Based Reinforcement Learning","date":"2022-06-13","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/scale-equivariance-improves-siamese-tracking","title":"Scale Equivariance Improves Siamese Tracking","date":"2020-07-17","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":12,"samples_ran":1,"samples_unverified":11,"pointer_only_for_licence":11,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/siamfc-towards-robust-and-accurate-visual","title":"SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines","date":"2019-11-14","rows_on_this_dataset":1,"code_links":6,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":5,"samples_ran":4,"samples_unverified":1,"pointer_only_for_licence":5,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/gradnet-gradient-guided-network-for-visual","title":"GradNet: Gradient-Guided Network for Visual Object Tracking","date":"2019-09-15","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":2,"samples_ran":1,"samples_unverified":1,"pointer_only_for_licence":2,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/joint-group-feature-selection-and","title":"Joint Group Feature Selection and Discriminative Filter Learning for Robust Visual Object Tracking","date":"2019-07-30","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/tracking-holistic-object-representations","title":"Tracking Holistic Object Representations","date":"2019-07-21","rows_on_this_dataset":2,"code_links":2,"syntology":null},{"paper":"/paper/fast-visual-object-tracking-with-rotated","title":"Fast Visual Object Tracking with Rotated Bounding Boxes","date":"2019-07-08","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/siamvgg-visual-tracking-using-deeper-siamese","title":"SiamVGG: Visual Tracking using Deeper Siamese Networks","date":"2019-02-07","rows_on_this_dataset":1,"code_links":4,"syntology":null},{"paper":"/paper/deeper-and-wider-siamese-networks-for-real","title":"Deeper and Wider Siamese Networks for Real-Time Visual Tracking","date":"2019-01-07","rows_on_this_dataset":1,"code_links":5,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":3,"samples_ran":3,"samples_unverified":0,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/siamrpn-evolution-of-siamese-visual-tracking","title":"SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks","date":"2018-12-31","rows_on_this_dataset":1,"code_links":13,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":17,"samples_ran":3,"samples_unverified":14,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/fast-online-object-tracking-and-segmentation","title":"Fast Online Object Tracking and Segmentation: A Unifying Approach","date":"2018-12-12","rows_on_this_dataset":1,"code_links":3,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":10,"samples_ran":1,"samples_unverified":9,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/towards-a-better-match-in-siamese-network","title":"Towards a Better Match in Siamese Network Based Visual Object Tracker","date":"2018-09-05","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/distractor-aware-siamese-networks-for-visual","title":"Distractor-aware Siamese Networks for Visual Object Tracking","date":"2018-08-18","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/learning-to-update-for-object-tracking-with","title":"Learning to Update for Object Tracking with Recurrent Meta-learner","date":"2018-06-19","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/high-performance-visual-tracking-with-siamese","title":"High Performance Visual Tracking With Siamese Region Proposal Network","date":"2018-06-01","rows_on_this_dataset":1,"code_links":5,"syntology":null},{"paper":"/paper/context-aware-deep-feature-compression-for","title":"Context-aware Deep Feature Compression for High-speed Visual Tracking","date":"2018-03-28","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/learning-spatial-temporal-regularized","title":"Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking","date":"2018-03-23","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/learning-spatial-aware-regressions-for-visual","title":"Learning Spatial-Aware Regressions for Visual Tracking","date":"2017-06-22","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/eco-efficient-convolution-operators-for","title":"ECO: Efficient Convolution Operators for Tracking","date":"2016-11-28","rows_on_this_dataset":1,"code_links":5,"syntology":null},{"paper":"/paper/discriminative-correlation-filter-with","title":"Discriminative Correlation Filter with Channel and Spatial Reliability","date":"2016-11-25","rows_on_this_dataset":1,"code_links":4,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":6,"samples_harvested":49,"samples_ran":13,"samples_unverified":36,"pointer_only_for_licence":18,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}