SOTAVerified

Object Detection

Papers

Showing 13511375 of 10957 papers

TitleStatusHype
A Lightweight Modular Framework for Low-Cost Open-Vocabulary Object Detection TrainingCode0
Generative AI in Industrial Machine Vision -- A Review0
Quantum Inverse Contextual Vision Transformers (Q-ICVT): A New Frontier in 3D Object Detection for AVsCode0
Vision Calorimeter: Migrating Visual Object Detector to High-energy Particle ImagesCode0
Just a Hint: Point-Supervised Camouflaged Object Detection0
A Closer Look at Data Augmentation Strategies for Finetuning-Based Low/Few-Shot Object Detection0
SAM-COD: SAM-guided Unified Framework for Weakly-Supervised Camouflaged Object Detection0
IDD-YOLOv5: A Lightweight Insulator Defect Real-time Detection AlgorithmCode0
Leveraging Superfluous Information in Contrastive Representation Learning0
Latent Diffusion for Guided Document Table Generation0
Segment-Anything Models Achieve Zero-shot Robustness in Autonomous DrivingCode0
SHARP: Segmentation of Hands and Arms by Range using Pseudo-Depth for Enhanced Egocentric 3D Hand Pose Estimation and Action RecognitionCode1
Adversarial Attacked Teacher for Unsupervised Domain Adaptive Object Detection0
YOLOv1 to YOLOv10: The fastest and most accurate real-time object detection systems0
Boundary-Recovering Network for Temporal Action Detection0
GSLAMOT: A Tracklet and Query Graph-based Simultaneous Locating, Mapping, and Multiple Object Tracking System0
MaskBEV: Towards A Unified Framework for BEV Detection and Map Segmentation0
PADetBench: Towards Benchmarking Physical Attacks against Object DetectionCode1
Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing CommunityCode3
Depth-guided Texture Diffusion for Image Semantic Segmentation0
Multi-Granularity Part Sampling Attention for Fine-Grained Visual ClassificationCode1
Enhancing Object Detection with Hybrid dataset in Manufacturing Environments: Comparing Federated Learning to Conventional Techniques0
Multimodal Relational Triple Extraction with Query-based Entity Object Transformer0
Tell Codec What Worth Compressing: Semantically Disentangled Image Coding for Machine with LMMs0
5%>100%: Breaking Performance Shackles of Full Fine-Tuning on Visual Recognition TasksCode3
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Co-DETRbox mAP66Unverified
2InternImage-H (M3I Pre-training)box mAP65.5Unverified
3M3I Pre-training (InternImage-H)box mAP65.4Unverified
4MoCaEbox mAP65.1Unverified
5Co-DETR (Swin-L)box mAP64.8Unverified
6Focal-Stable-DINO (Focal-Huge, no TTA)box mAP64.8Unverified
7EVAbox mAP64.7Unverified
8Group DETR v2box mAP64.5Unverified
9FocalNet-H (DINO)box mAP64.4Unverified
10InternImage-XLbox mAP64.3Unverified