SOTAVerified

Object Detection

Papers

Showing 12011225 of 10957 papers

TitleStatusHype
Described Object Detection: Liberating Object Detection with Flexible ExpressionsCode1
PG-RCNN: Semantic Surface Point Generation for 3D Object DetectionCode1
PRIOR: Prototype Representation Joint Learning from Medical Images and ReportsCode1
Learning Dynamic Query Combinations for Transformer-based Object Detection and SegmentationCode1
Towards Generic and Controllable Attacks Against Object DetectionCode1
Augmented Box Replay: Overcoming Foreground Shift for Incremental Object DetectionCode1
ComPtr: Towards Diverse Bi-source Dense Prediction Tasks via A Simple yet General Complementary TransformerCode1
GEM: Boost Simple Network for Glass Surface Segmentation via Vision Foundation ModelsCode1
Deep Directly-Trained Spiking Neural Networks for Object DetectionCode1
HVDetFusion: A Simple and Robust Camera-Radar Fusion FrameworkCode1
CORE: Cooperative Reconstruction for Multi-Agent PerceptionCode1
PE-YOLO: Pyramid Enhancement Network for Dark Object DetectionCode1
Cascade-DETR: Delving into High-Quality Universal Object DetectionCode1
AlignDet: Aligning Pre-training and Fine-tuning in Object DetectionCode1
Domain Adaptation based Object Detection for Autonomous Driving in Foggy and Rainy WeatherCode1
MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and ResultsCode1
Nonlinear optical encoding enabled by recurrent linear scatteringCode1
Random Boxes Are Open-world Object DetectorsCode1
RCM-Fusion: Radar-Camera Multi-Level Fusion for 3D Object DetectionCode1
M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry OptimizationCode1
On Point Affiliation in Feature UpsamplingCode1
Implementation of a perception system for autonomous vehicles using a detection-segmentation network in SoC FPGACode1
Semi-DETR: Semi-Supervised Object Detection with Detection TransformersCode1
Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-LabelingCode1
Achelous: A Fast Unified Water-surface Panoptic Perception Framework based on Fusion of Monocular Camera and 4D mmWave RadarCode1
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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