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Animal Pose Estimation

36 papers with code · 8 benchmarks · 19 datasets archive 2025-07-28

Computer Vision

Animal pose estimation is the task of identifying the pose of an animal.

( Image credit: Using DeepLabCut for 3D markerless pose estimation across species and behaviors )

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

8 leaderboard tables shown for this task, 8 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

DatasetBest model (first row in archive order)PaperCodeSyntologyCompare
AP-10K (10 rows) ViTPose+-H ViTPose++: Vision Transformer for Generic Body Pose Estimation code Syntology ran 2 of 3 samples · 1 unverified Compare
Horse-10 (8 rows) DeepLabCut-EfficientNet-B6 Pretraining boosts out-of-domain robustness for pose estimation code — Compare
TriMouse-161 (7 rows) BUCTD-CoAM-W48 (DLCRNet) Rethinking pose estimation in crowds: overcoming the detection... code Syntology ran 4 of 6 samples · 2 unverified Compare
Fish-100 (4 rows) HRNet-W48 + Faster R-CNN Rethinking pose estimation in crowds: overcoming the detection... code Syntology ran 4 of 6 samples · 2 unverified Compare
Marmoset-8K (4 rows) BUCTD-preNet-W48 (CID-W32) Rethinking pose estimation in crowds: overcoming the detection... code Syntology ran 4 of 6 samples · 2 unverified Compare
StanfordExtra (3 rows) 8 Stacked Hourglass Network SyDog: A Synthetic Dog Dataset for Improved 2D Pose Estimation — — Compare
Animal-Pose Dataset (1 row) SuperAnimal-AnimalTokenPose SuperAnimal pretrained pose estimation models for behavioral analysis code — Compare
Animal3D (1 row) PARE Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape — — Compare

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-25.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

19 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 36 papers with code (48 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

Syntology lines on 9 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-25.

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