paper-with-me

Visual Object Tracking 벤치마크

Visual Object Tracking on GOT-10k

84개 결과 · ⬇ CSV · JSON

Average Overlap

61 66.17 71.35 76.53 81.7 2018-11 2026-11 ATOM — 61.0 (2018-11-19) ATOM — 61.0 (2018-11-19) DiMP — 61.1 (2019-04-15) DiMP — 61.1 (2019-04-15) SiamFC++ — 61.0 (2019-11-14) SiamFC++ — 61.0 (2019-11-14) Siam R-CNN — 64.9 (2019-11-28) Siam R-CNN — 64.9 (2019-11-28) Ocean — 61.1 (2020-06-18) Ocean — 61.1 (2020-06-18) TRASFUST — 61.7 (2020-07-08) TRASFUST — 61.7 (2020-07-08) STARK — 68.8 (2021-03-31) STARK — 68.8 (2021-03-31) TREG — 66.8 (2021-04-01) STMTrack — 64.2 (2021-04-01) TREG — 66.8 (2021-04-01) STMTrack — 64.2 (2021-04-01) SwinTrack-B — 69.4 (2021-12-02) SwinTrack-B — 69.4 (2021-12-02) FEAR-L — 64.5 (2021-12-15) FEAR-M — 62.3 (2021-12-15) FEAR-XS — 61.9 (2021-12-15) FEAR-L — 64.5 (2021-12-15) FEAR-M — 62.3 (2021-12-15) FEAR-XS — 61.9 (2021-12-15) MixFormer-L — 75.6 (2022-03-21) MixFormer-1k — 71.2 (2022-03-21) MixFormer — 70.7 (2022-03-21) MixFormer-L — 75.6 (2022-03-21) MixFormer-1k — 71.2 (2022-03-21) MixFormer — 70.7 (2022-03-21) OSTrack-384 — 73.7 (2022-03-22) OSTrack-384 — 73.7 (2022-03-22) SwinV2-L 1K-MIM — 72.9 (2022-05-26) SwinV2-B 1K-MIM — 70.8 (2022-05-26) SwinV2-L 1K-MIM — 72.9 (2022-05-26) SwinV2-B 1K-MIM — 70.8 (2022-05-26) AiATrack — 69.6 (2022-07-20) AiATrack — 69.6 (2022-07-20) SLT-TransT — 67.5 (2022-08-11) SLT-TransT — 67.5 (2022-08-11) NeighborTrack-OSTrack — 75.7 (2022-11-12) NeighborTrack-OSTrack — 75.7 (2022-11-12) ARTrack-L — 78.5 (2023-01-01) ARTrack-L — 78.5 (2023-01-01) MixViT-L(ConvMAE) — 75.7 (2023-02-06) MixViT-L(ConvMAE) — 75.7 (2023-02-06) TATrack-L-GOT — 76.6 (2023-02-27) TATrack-L-GOT — 76.6 (2023-02-27) DropMAE — 75.9 (2023-04-02) DropMAE — 75.9 (2023-04-02) SeqTrack-L384 — 74.8 (2023-04-27) SeqTrack-L384 — 74.8 (2023-04-27) MITS — 80.4 (2023-08-25) MITS — 80.4 (2023-08-25) HIPTrack — 77.4 (2023-11-03) HIPTrack — 77.4 (2023-11-03) ARTrackV2-L — 79.5 (2023-12-28) ARTrackV2-L — 79.5 (2023-12-28) ODTrack-L — 78.2 (2024-01-03) ODTrack-B — 77.0 (2024-01-03) ODTrack-L — 78.2 (2024-01-03) ODTrack-B — 77.0 (2024-01-03) LoRAT-g-378 — 78.9 (2024-03-08) LoRAT-L-378 — 77.5 (2024-03-08) LoRAT-g-378 — 78.9 (2024-03-08) LoRAT-L-378 — 77.5 (2024-03-08) RTracker-L — 77.9 (2024-03-28) RTracker-L — 77.9 (2024-03-28) SAMURAI-L — 81.7 (2024-11-18) SAMURAI-L — 81.7 (2024-11-18) DAM4SAM — 81.1 (2024-11-26) DAM4SAM — 81.1 (2024-11-26) MCITrack-L384 — 80.0 (2024-12-15) MCITrack-B224 — 77.9 (2024-12-15) MCITrack-L384 — 80.0 (2024-12-15) MCITrack-B224 — 77.9 (2024-12-15) SPMTrack-G — 81.0 (2025-03-24) SPMTrack-L — 80.0 (2025-03-24) SPMTrack-B — 76.5 (2025-03-24) SPMTrack-G — 81.0 (2025-03-24) SPMTrack-L — 80.0 (2025-03-24) SPMTrack-B — 76.5 (2025-03-24) ATOM — 61.0 (2018-11-19) DiMP — 61.1 (2019-04-15) Siam R-CNN — 64.9 (2019-11-28) STARK — 68.8 (2021-03-31) SwinTrack-B — 69.4 (2021-12-02) MixFormer-L — 75.6 (2022-03-21) NeighborTrack-OSTrack — 75.7 (2022-11-12) ARTrack-L — 78.5 (2023-01-01) MITS — 80.4 (2023-08-25) SAMURAI-L — 81.7 (2024-11-18)
RankModel Average OverlapSuccess Rate 0.5Success Rate 0.75 PaperCodeYear
1 SAMURAI-L 81.792.276.9 SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory yangchris11/samurai 2024
2 DAM4SAM 81.1–– A Distractor-Aware Memory for Visual Object Tracking with SAM2 jovanavidenovic/dam4sam 2024
3 SPMTrack-G 8189.282.3 SPMTrack: Spatio-Temporal Parameter-Efficient Fine-Tuning with Mixture of Experts for Scalable Visual Tracking wenruicai/spmtrack 2025
4 MITS 80.489.875.8 Integrating Boxes and Masks: A Multi-Object Framework for Unified Visual Tracking and Segmentation yoxu515/mits 2023
5 SPMTrack-L 8089.479.9 SPMTrack: Spatio-Temporal Parameter-Efficient Fine-Tuning with Mixture of Experts for Scalable Visual Tracking wenruicai/spmtrack 2025
5 MCITrack-L384 80.088.580.2 Exploring Enhanced Contextual Information for Video-Level Object Tracking kangben258/MCITrack 2024
7 ARTrackV2-L 79.587.879.6 ARTrackV2: Prompting Autoregressive Tracker Where to Look and How to Describe miv-xjtu/artrack 2023
8 LoRAT-g-378 78.987.880.7 Tracking Meets LoRA: Faster Training, Larger Model, Stronger Performance litinglin/lorat 2024
9 ARTrack-L 78.587.477.8 Autoregressive Visual Tracking miv-xjtu/artrack 2023
10 ODTrack-L 78.2–– ODTrack: Online Dense Temporal Token Learning for Visual Tracking gxnu-zhonglab/odtrack 2024
11 MCITrack-B224 77.988.276.8 Exploring Enhanced Contextual Information for Video-Level Object Tracking kangben258/MCITrack 2024
11 RTracker-L 77.98776.9 RTracker: Recoverable Tracking via PN Tree Structured Memory norahgreen/rtracker 2024
13 LoRAT-L-378 77.586.278.1 Tracking Meets LoRA: Faster Training, Larger Model, Stronger Performance litinglin/lorat 2024
14 HIPTrack 77.488.074.5 HIPTrack: Visual Tracking with Historical Prompts wenruicai/hiptrack 2023
15 ODTrack-B 77.0–– ODTrack: Online Dense Temporal Token Learning for Visual Tracking gxnu-zhonglab/odtrack 2024
16 TATrack-L-GOT 76.685.773.4 Target-Aware Tracking with Long-term Context Attention hekaijie123/TATrack 2023
17 SPMTrack-B 76.585.976.3 SPMTrack: Spatio-Temporal Parameter-Efficient Fine-Tuning with Mixture of Experts for Scalable Visual Tracking wenruicai/spmtrack 2025
18 DropMAE 75.986.872 DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks jimmy-dq/dropmae 2023
19 NeighborTrack-OSTrack 75.785.7273.3 NeighborTrack: Improving Single Object Tracking by Bipartite Matching with Neighbor Tracklets franktpmvu/NeighborTrack 2022
19 MixViT-L(ConvMAE) 75.785.375.1 MixFormer: End-to-End Tracking with Iterative Mixed Attention MCG-NJU/MixFormer 2023
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