SOTAVerified

Object Detection

Papers

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Showing 4276–4300 of 10957 papers

TitleStatusHype
Assistive Image Annotation Systems with Deep Learning and Natural Language Capabilities: A Review—0
HUWSOD: Holistic Self-training for Unified Weakly Supervised Object DetectionCode0
STAL3D: Unsupervised Domain Adaptation for 3D Object Detection via Collaborating Self-Training and Adversarial Learning—0
Weighted Circle Fusion: Ensembling Circle Representation from Different Object Detection ResultsCode0
Towards Reducing Data Acquisition and Labeling for Defect Detection using Simulated Data—0
BOrg: A Brain Organoid-Based Mitosis Dataset for Automatic Analysis of Brain DiseasesCode0
BiCo-Fusion: Bidirectional Complementary LiDAR-Camera Fusion for Semantic- and Spatial-Aware 3D Object Detection—0
GAP9Shield: A 150GOPS AI-capable Ultra-low Power Module for Vision and Ranging Applications on Nano-drones—0
Segment Anything Model for automated image data annotation: empirical studies using text prompts from Grounding DINO—0
Robustness Testing of Black-Box Models Against CT Degradation Through Test-Time Augmentation—0
A Universal Railway Obstacle Detection System based on Semi-supervised Segmentation And Optical Flow—0
Instance Temperature Knowledge DistillationCode0
Boosting Few-Shot Open-Set Object Detection via Prompt Learning and Robust Decision BoundaryCode0
SpY: A Context-Based Approach to Spacecraft Component Detection—0
CTS: Sim-to-Real Unsupervised Domain Adaptation on 3D Detection—0
MDHA: Multi-Scale Deformable Transformer with Hybrid Anchors for Multi-View 3D Object DetectionCode0
ET tu, CLIP? Addressing Common Object Errors for Unseen Environments—0
Embedded event based object detection with spiking neural network—0
Towards Open-set Camera 3D Object Detection—0
Optimization of Autonomous Driving Image Detection Based on RFAConv and Triplet Attention—0
Exploring Test-Time Adaptation for Object Detection in Continually Changing Environments—0
Bosch Street Dataset: A Multi-Modal Dataset with Imaging Radar for Automated Driving—0
Review of Zero-Shot and Few-Shot AI Algorithms in The Medical Domain—0
Smart Feature is What You NeedCode0
MR-MLLM: Mutual Reinforcement of Multimodal Comprehension and Vision Perception—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Co-DETRbox mAP66—Unverified
2InternImage-H (M3I Pre-training)box mAP65.5—Unverified
3M3I Pre-training (InternImage-H)box mAP65.4—Unverified
4MoCaEbox mAP65.1—Unverified
5Co-DETR (Swin-L)box mAP64.8—Unverified
6Focal-Stable-DINO (Focal-Huge, no TTA)box mAP64.8—Unverified
7EVAbox mAP64.7—Unverified
8Group DETR v2box mAP64.5—Unverified
9FocalNet-H (DINO)box mAP64.4—Unverified
10InternImage-XLbox mAP64.3—Unverified