SOTAVerified

Region Proposal

Papers

Showing 125 of 373 papers

TitleStatusHype
Bridging Annotation Gaps: Transferring Labels to Align Object Detection Datasets0
Generalization-Enhanced Few-Shot Object Detection in Remote SensingCode1
OralXrays-9: Towards Hospital-Scale Panoramic X-ray Anomaly Detection via Personalized Multi-Object Query-Aware Mining0
Online Pseudo-Label Unified Object Detection for Multiple Datasets Training0
Diffusion-Based Depth Inpainting for Transparent and Reflective Objects0
Towards Robust Object Detection: Identifying and Removing Backdoors via Module Inconsistency Analysis0
Lidar Panoptic Segmentation in an Open WorldCode1
ProteinRPN: Towards Accurate Protein Function Prediction with Graph-Based Region Proposals0
VFM-Det: Towards High-Performance Vehicle Detection via Large Foundation ModelsCode1
Enhancing Source-Free Domain Adaptive Object Detection with Low-confidence Pseudo Label DistillationCode0
Adaptive Modality Balanced Online Knowledge Distillation for Brain-Eye-Computer based Dim Object DetectionCode0
Semantic Enhanced Few-shot Object Detection0
Versatile Teacher: A Class-aware Teacher-student Framework for Cross-domain AdaptationCode1
A Realistic Protocol for Evaluation of Weakly Supervised Object LocalizationCode0
Training-free Boost for Open-Vocabulary Object Detection with Confidence AggregationCode1
Generative Region-Language Pretraining for Open-Ended Object DetectionCode2
Exploring Robust Features for Few-Shot Object Detection in Satellite ImageryCode1
Debiased Novel Category Discovering and Localization0
CPN: Complementary Proposal Network for Unconstrained Text Detection0
Weakly Supervised Open-Vocabulary Object Detection0
PETDet: Proposal Enhancement for Two-Stage Fine-Grained Object DetectionCode1
Boosting Segment Anything Model Towards Open-Vocabulary LearningCode1
High-resolution power equipment recognition based on improved self-attention0
OVIR-3D: Open-Vocabulary 3D Instance Retrieval Without Training on 3D DataCode1
Radar-Lidar Fusion for Object Detection by Designing Effective Convolution Networks0
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