| YOLOV++ |
- MAP
- 93.2
|
Practical Video Object Detection via Feature Selection and Aggregation 2024-07-29 |
코드 1 |
| DiffusionVID (Swin-B) |
- MAP
- 92.5
|
DiffusionVID: Denoising Object Boxes with Spatio-temporal Conditioning for Video Object Detection 2023-10-30 |
코드 1 |
| Ours (Def. DETR + SwinB) |
- MAP
- 91.3
|
Objects do not disappear: Video object detection by single-frame object location anticipation 2023-08-09 |
코드 1 · 코드 2 |
| VSTAM |
- MAP
- 91.1
|
Video Sparse Transformer With Attention-Guided Memory for Video Object Detection 2022-06-17 |
코드 1 |
| TGBFormer (Swin B) |
- MAP
- 90.3
|
TGBFormer: Transformer-GraphFormer Blender Network for Video Object Detection 2025-03-18 |
연결 없음 |
| TransVOD (Swin Base) |
- MAP
- 90.1
|
TransVOD: End-to-End Video Object Detection with Spatial-Temporal Transformers 2022-01-13 |
코드 1 · 코드 2 · 코드 3 |
| PTSEFormer (ResNet-101) |
- MAP
- 88.1
|
PTSEFormer: Progressive Temporal-Spatial Enhanced TransFormer Towards Video Object Detection 2022-09-06 |
코드 1 |
| Ours (Def. DETR + R101) |
- MAP
- 87.9
|
Objects do not disappear: Video object detection by single-frame object location anticipation 2023-08-09 |
코드 1 · 코드 2 |
| YOLOV |
- MAP
- 87.5
|
YOLOV: Making Still Image Object Detectors Great at Video Object Detection 2022-08-20 |
코드 1 |
| Ours (Faster RCNN + R101) |
- MAP
- 87.2
|
Objects do not disappear: Video object detection by single-frame object location anticipation 2023-08-09 |
코드 1 · 코드 2 |
| DiffusionVID (ResNet-101) |
- MAP
- 87.1
|
DiffusionVID: Denoising Object Boxes with Spatio-temporal Conditioning for Video Object Detection 2023-10-30 |
코드 1 |
| DAFA-F (ResNeXt-101) |
- MAP
- 85.9
|
DAFA: Diversity-Aware Feature Aggregation for Attention-Based Video Object Detection 2022-09-01 |
연결 없음 |
| ClipVID |
- MAP
- 85.8
|
Identity-Consistent Aggregation for Video Object Detection 2023-08-15 |
코드 1 |
| HVRNet (ResNeXt101-32x4d) |
- MAP
- 85.5
|
Mining Inter-Video Proposal Relations for Video Object Detection 논문 날짜 미기재 |
코드 1 |
| MEGA (ResNeXt101) |
- MAP
- 85.4
|
Memory Enhanced Global-Local Aggregation for Video Object Detection 2020-03-26 |
코드 1 · 코드 2 |
| BoxMask(ResNeXt101) |
- MAP
- 84.8
|
BoxMask: Revisiting Bounding Box Supervision for Video Object Detection 2022-10-12 |
연결 없음 |
| DAFA-F (ResNet-101) |
- MAP
- 84.5
|
DAFA: Diversity-Aware Feature Aggregation for Attention-Based Video Object Detection 2022-09-01 |
연결 없음 |
| Temporal ROI Align (ResNeXt101) |
- MAP
- 84.3
|
Temporal RoI Align for Video Object Recognition 2021-09-08 |
코드 1 |
| SELSA (ResNeXt-101) |
- MAP
- 84.3
|
Sequence Level Semantics Aggregation for Video Object Detection 2019-07-15 |
코드 1 · 코드 2 |
| REPP + SELSA (ResNet-101) |
- MAP
- 84.2
|
Robust and Efficient Post-Processing for Video Object Detection (REPP) 2020-10-01 |
코드 1 |
| HVRNet (ResNest101) |
- MAP
- 83.8
|
Mining Inter-Video Proposal Relations for Video Object Detection 논문 날짜 미기재 |
코드 1 |
| Tracklet-Conditioned Detection+DCNv2+FGFA |
- MAP
- 83.5
|
Integrated Object Detection and Tracking with Tracklet-Conditioned Detection 2018-11-27 |
연결 없음 |
| SELSA (ResNet-101) |
- MAP
- 82.69
|
Sequence Level Semantics Aggregation for Video Object Detection 2019-07-15 |
코드 1 · 코드 2 |
| SLTnet FPN-X101 |
- MAP
- 82.4
|
Short-term anchor linking and long-term self-guided attention for video object detection 2021-04-18 |
코드 1 |
| LSTS (ResNet-101) |
- MAP
- 81.7
|
Learning Where to Focus for Efficient Video Object Detection 2019-11-13 |
코드 1 |
| BoxMask (ResNet-50) |
- MAP
- 80.7
|
BoxMask: Revisiting Bounding Box Supervision for Video Object Detection 2022-10-12 |
연결 없음 |
| SparseVOD (ResNet-50) |
- MAP
- 80.3
|
Spatio-Temporal Learnable Proposals for End-to-End Video Object Detection 2022-10-05 |
연결 없음 |
| REPP + FGFA |
- MAP
- 80.1
|
Robust and Efficient Post-Processing for Video Object Detection (REPP) 2020-10-01 |
코드 1 |
| FGFA + Seq-NMS |
- MAP
- 80.1
|
Flow-Guided Feature Aggregation for Video Object Detection 2017-03-29 |
코드 1 · 코드 2 |
| Online TSM |
- MAP
- 76.3
|
TSM: Temporal Shift Module for Efficient Video Understanding 2018-11-20 |
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