Video Object Detection
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Benchmarks
ImageNet VID
01/01/19679682867
EPIC-KITCHENS-55
USC-GRAD-STDdb
Waymo Open Dataset
YT-BB
Most implemented
Emerging Properties in Self-Supervised Vision Transformers
TSM: Temporal Shift Module for Efficient Video Understanding
HoughNet: Integrating near and long-range evidence for visual detection
Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection
Transferable Adversarial Attacks for Image and Video Object Detection
Papers
Dual-Correlation Hypergraph Network for Unaligned RGBT Video Object Detection and A Large-scale Benchmark
RGB-Thermal (RGBT) Video Object Detection (VOD) has gained significant traction due to its ability to overcome the limitations of conventional RGB-based VOD under challenging conditions. However, spatial misalignment com…
Video Object DetectionLearn Temporal Consistency For Robust Satellite Video Detector
Satellite video object detection (SVOD) for oriented and fine-grained objects plays an important role in satellite applications. Most existing SVOD methods only focus on one or a few coarse-grained categories of moving o…
Representation LearningVideo Object DetectionMR2-ByteTrack: CNN and Transformer-based Video Object Detection for AI-augmented Embedded Vision Sensor Nodes
Modern smart vision sensors need on-device intelligence to process video streams, as cloud computing is often impractical due to bandwidth, latency, and privacy constraints. However, these sensory systems typically rely …
Video Object DetectionVVitCutLER: Towards Unsupervised Object Detection and Segmentation in Videos
Unsupervised pixel-level video understanding remains challenging in real-world scenarios, where motion blur, occlusion, and fast object dynamics often cause temporal drift and flickering pseudo-labels.We propose VVitCutL…
Video Object DetectionInstance SegmentationGAP-MLLM: Geometry-Aligned Pre-training for Activating 3D Spatial Perception in Multimodal Large Language Models
Multimodal Large Language Models (MLLMs) demonstrate exceptional semantic reasoning but struggle with 3D spatial perception when restricted to pure RGB inputs. Despite leveraging implicit geometric priors from 3D reconst…
Video Object Detection3D dense captioning3D ReconstructionVisual GroundingDetection of Autonomous Shuttles in Urban Traffic Images Using Adaptive Residual Context
The progressive automation of transport promises to enhance safety and sustainability through shared mobility. Like other vehicles and road users, and even more so for such a new technology, it requires monitoring to und…
Video Object DetectionScene Understanding