SOTAVerified

Object Detection

Papers

Showing 25512575 of 10957 papers

TitleStatusHype
RAMP-CNN: A Novel Neural Network for Enhanced Automotive Radar Object RecognitionCode1
SVAM: Saliency-guided Visual Attention Modeling by Autonomous Underwater RobotsCode1
Optimized Loss Functions for Object detection: A Case Study on Nighttime Vehicle DetectionCode1
CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object DetectionCode1
CenterFusion: Center-based Radar and Camera Fusion for 3D Object DetectionCode1
EfficientPose: An efficient, accurate and scalable end-to-end 6D multi object pose estimation approachCode1
Towards Resolving the Challenge of Long-tail Distribution in UAV Images for Object DetectionCode1
Towards Efficient Scene Understanding via Squeeze ReasoningCode1
Learning a Geometric Representation for Data-Efficient Depth Estimation via Gradient Field and Contrastive LossCode1
Disentangling 3D Prototypical Networks For Few-Shot Concept LearningCode1
Learning Visual Representations for Transfer Learning by Suppressing TextureCode1
Faraway-Frustum: Dealing with Lidar Sparsity for 3D Object Detection using FusionCode1
Multi-View Adaptive Fusion Network for 3D Object DetectionCode1
PREGAN: Pose Randomization and Estimation for Weakly Paired Image Style TranslationCode1
Domain-Adaptive Object Detection via Uncertainty-Aware Distribution AlignmentCode1
Permute, Quantize, and Fine-tune: Efficient Compression of Neural NetworksCode1
RelationNet++: Bridging Visual Representations for Object Detection via Transformer DecoderCode1
Class-Agnostic Segmentation Loss and Its Application to Salient Object Detection and SegmentationCode1
Object Hider: Adversarial Patch Attack Against Object DetectorsCode1
Perception for Autonomous Systems (PAZ)Code1
Instance Semantic Segmentation Benefits from Generative Adversarial NetworksCode1
Improved Actor Relation Graph based Group Activity RecognitionCode1
Comprehensive Attention Self-Distillation for Weakly-Supervised Object DetectionCode1
Restoring Negative Information in Few-Shot Object DetectionCode1
ApproxDet: Content and Contention-Aware Approximate Object Detection for MobilesCode1
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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