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Object Detection

Papers

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Showing 3201–3250 of 10957 papers

TitleStatusHype
Collaborative Feature-Logits Contrastive Learning for Open-Set Semi-Supervised Object Detection—0
Collaborative Deep Reinforcement Learning for Joint Object Search—0
A Review of Transformer-Based Models for Computer Vision Tasks: Capturing Global Context and Spatial Relationships—0
Collaborative 3D Object Detection for Automatic Vehicle Systems via Learnable Communications—0
3D Object Detection and High-Resolution Traffic Parameters Extraction Using Low-Resolution LiDAR Data—0
PCA-RECT: An Energy-efficient Object Detection Approach for Event Cameras—0
Collaboration of Teachers for Semi-supervised Object Detection—0
Co-Learning: Towards Semi-Supervised Object Detection with Road-side Cameras—0
A Review of Object Detection Models based on Convolutional Neural Network—0
A Review of methods for Textureless Object Recognition—0
A Closer Look at Data Augmentation Strategies for Finetuning-Based Low/Few-Shot Object Detection—0
Coinbot: Intelligent Robotic Coin Bag Manipulation Using Deep Reinforcement Learning And Machine Teaching—0
A review of individual tree crown detection and delineation from optical remote sensing images—0
CoFiNet: Unveiling Camouflaged Objects with Multi-Scale Finesse—0
CoFF: Cooperative Spatial Feature Fusion for 3D Object Detection on Autonomous Vehicles—0
A Review of 3D Object Detection with Vision-Language Models—0
Adversarially Trained Object Detector for Unsupervised Domain Adaptation—0
Supervised Image Translation from Visible to Infrared Domain for Object Detection—0
Exploring Data Augmentations on Self-/Semi-/Fully- Supervised Pre-trained Models—0
Exploring EEG for Object Detection and Retrieval—0
Exploring Multi-Modal Contextual Knowledge for Open-Vocabulary Object Detection—0
Exponentially Weighted Instance-Aware Repeat Factor Sampling for Long-Tailed Object Detection Model Training in Unmanned Aerial Vehicles Surveillance Scenarios—0
CoDo: Contrastive Learning with Downstream Background Invariance for Detection—0
A review: Deep learning for medical image segmentation using multi-modality fusion—0
Adversarial Infrared Geometry: Using Geometry to Perform Adversarial Attack against Infrared Pedestrian Detectors—0
CodeMerge: Codebook-Guided Model Merging for Robust Test-Time Adaptation in Autonomous Driving—0
A Review and A Robust Framework of Data-Efficient 3D Scene Parsing with Traditional/Learned 3D Descriptors—0
Exploring Aleatoric Uncertainty in Object Detection via Vision Foundation Models—0
Exploring Bottom-up and Top-down Cues with Attentive Learning for Webly Supervised Object Detection—0
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving—0
Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor Fusion—0
Coconut Palm Tree Counting on Drone Images with Deep Object Detection and Synthetic Training Data—0
A Classifier-guided Approach for Top-down Salient Object Detection—0
CoBEVFusion: Cooperative Perception with LiDAR-Camera Bird's-Eye View Fusion—0
Are object detection assessment criteria ready for maritime computer vision?—0
3D Object Class Detection in the Wild—0
Exploring Camera Encoder Designs for Autonomous Driving Perception—0
COBE: Contextualized Object Embeddings from Narrated Instructional Video—0
A Regularized Convolutional Neural Network for Semantic Image Segmentation—0
Coarse-to-Fine Salient Object Detection with Low-Rank Matrix Recovery—0
A Region-Based Deep Learning Approach to Automated Retail Checkout—0
Adversarial Defense Teacher for Cross-Domain Object Detection under Poor Visibility Conditions—0
CO2: Consistent Contrast for Unsupervised Visual Representation Learning—0
RenderBender: A Survey on Adversarial Attacks Using Differentiable Rendering—0
A Recurrent YOLOv8-based framework for Event-Based Object Detection—0
A Classification Leveraged Object Detector—0
Domain penalisation for improved Out-of-Distribution Generalisation—0
CNN-transformer mixed model for object detection—0
CNN-based Two-Stage Parking Slot Detection Using Region-Specific Multi-Scale Feature Extraction—0
CNN-based RGB-D Salient Object Detection: Learn, Select and Fuse—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