Papers › VideoMamba: State Space Model for Efficient Video Understanding

VideoMamba: State Space Model for Efficient Video Understanding

11 Mar 2024arXiv:2403.06977archive 2025-07-28

Kunchang Li, Xinhao Li, Yi Wang, Yinan He, Yali Wang, LiMin Wang, Yu Qiao

Addressing the dual challenges of local redundancy and global dependencies in video understanding, this work innovatively adapts the Mamba to the video domain. The proposed VideoMamba overcomes the limitations of existing 3D convolution neural networks and video transformers. Its linear-complexity operator enables efficient long-term modeling, which is crucial for high-resolution long video understanding. Extensive evaluations reveal VideoMamba's four core abilities: (1) Scalability in the visual domain without extensive dataset pretraining, thanks to a novel self-distillation technique; (2) Sensitivity for recognizing short-term actions even with fine-grained motion differences; (3) Superiority in long-term video understanding, showcasing significant advancements over traditional feature-based models; and (4) Compatibility with other modalities, demonstrating robustness in multi-modal contexts. Through these distinct advantages, VideoMamba sets a new benchmark for video understanding, offering a scalable and efficient solution for comprehensive video understanding. All the code and models are available at https://github.com/OpenGVLab/VideoMamba.

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opengvlab/videomamba officialmentioned in papermentioned on GitHubpytorch report
hongyuanyu/span mentioned on GitHubpytorch report

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1ran · honoured contract
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Block opengvlab/videomamba/videomamba/video_sm/models/videomamba.py official repository ran Apache-2.0 (permissive) · f656db702b49f748 · report
Mamba opengvlab/videomamba/videomamba/video_sm/models/videomamba.py official repository ran Apache-2.0 (permissive) · d83cab7852a90b13 · report
PatchEmbed opengvlab/videomamba/videomamba/video_sm/models/videomamba.py official repository ran Apache-2.0 (permissive) · f9b7873ac04f0368 · report
VisionMamba opengvlab/videomamba/videomamba/video_sm/models/videomamba.py official repository unverified Apache-2.0 (permissive) · 3bef289c82d678ec · report
_init_weights opengvlab/videomamba/videomamba/video_sm/models/videomamba.py official repository unverified Apache-2.0 (permissive) · 547c8f8405c4d450 · report
create_block opengvlab/videomamba/videomamba/video_sm/models/videomamba.py official repository unverified Apache-2.0 (permissive) · 6a1367264702ad24 · report
segm_init_weights opengvlab/videomamba/videomamba/video_sm/models/videomamba.py official repository unverified Apache-2.0 (permissive) · d7eeadc33187dd9e · report
Conv3XC hongyuanyu/span/basicsr/archs/span_arch.py community (archive-listed) ran fingerprinted Apache-2.0 (permissive) · d1973755b9d2f056 · report
SPAB hongyuanyu/span/basicsr/archs/span_arch.py community (archive-listed) ran fingerprinted Apache-2.0 (permissive) · 427fdb7d52e6e55f · report
_make_pair hongyuanyu/span/basicsr/archs/span_arch.py community (archive-listed) ran · honoured contract fingerprinted Apache-2.0 (permissive) · dfda97b5629cad1d · report
activation hongyuanyu/span/basicsr/archs/span_arch.py community (archive-listed) ran · our draft was wrong Apache-2.0 (permissive) · a2eac1cf4f3c5137 · report
conv_layer hongyuanyu/span/basicsr/archs/span_arch.py community (archive-listed) ran · our draft was wrong Apache-2.0 (permissive) · 8faca1aa2666657d · report
pixelshuffle_block hongyuanyu/span/basicsr/archs/span_arch.py community (archive-listed) ran · our draft was wrong Apache-2.0 (permissive) · 3a2faf2e05a448e3 · report
SPAN hongyuanyu/span/basicsr/archs/span_arch.py community (archive-listed) unverified Apache-2.0 (permissive) · c87c97b8024c0fde · report
sequential hongyuanyu/span/basicsr/archs/span_arch.py community (archive-listed) unverified Apache-2.0 (permissive) · 28179fe9fd01ec78 · report

Tasks

Action ClassificationMambaVideo Understandingmodel

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Action Classification Kinetics-400 VideoMamba-M800 Acc@1 85.0 #59 of 207 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

Methods

3D ConvolutionConvolution

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