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Object Detection

Papers

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Showing 3301–3350 of 10957 papers

TitleStatusHype
CLIP-BEVFormer: Enhancing Multi-View Image-Based BEV Detector with Ground Truth Flow—0
Arbitrary-Oriented Object Detection in Remote Sensing Images Based on Polar Coordinates—0
Adversarial Attacked Teacher for Unsupervised Domain Adaptive Object Detection—0
LAM3D: Leveraging Attention for Monocular 3D Object Detection—0
ClickBAIT-v2: Training an Object Detector in Real-Time—0
ClickBAIT: Click-based Accelerated Incremental Training of Convolutional Neural Networks—0
A Quick Review on Recent Trends in 3D Point Cloud Data Compression Techniques and the Challenges of Direct Processing in 3D Compressed Domain—0
Adversarial Amendment is the Only Force Capable of Transforming an Enemy into a Friend—0
Adversarial Alignment for Source Free Object Detection—0
CleverDistiller: Simple and Spatially Consistent Cross-modal Distillation—0
Clean-NeRF: Reformulating NeRF to account for View-Dependent Observations—0
CLDA-YOLO: Visual Contrastive Learning Based Domain Adaptive YOLO Detector—0
Class-Wise Buffer Management for Incremental Object Detection: An Effective Buffer Training Strategy—0
A Quantum Convolutional Neural Network Approach for Object Detection and Classification—0
Fast and Efficient Scene Categorization for Autonomous Driving using VAEs—0
A Quality Index Metric and Method for Online Self-Assessment of Autonomous Vehicles Sensory Perception—0
Class-Incremental Learning of Plant and Disease Detection: Growing Branches with Knowledge Distillation—0
3DMODT: Attention-Guided Affinities for Joint Detection & Tracking in 3D Point Clouds—0
Class-Incremental Few-Shot Object Detection—0
Adversarial 3D Virtual Patches using Integrated Gradients—0
Fast and Accurate Object Detection on Asymmetrical Receptive Field—0
Classification of Beer Bottles using Object Detection and Transfer Learning—0
Classification Committee for Active Deep Object Detection—0
A Public Ground-Truth Dataset for Handwritten Circuit Diagram Images—0
Classification and Disease Localization in Histopathology Using Only Global Labels: A Weakly-Supervised Approach—0
APT: Adaptive Perceptual quality based camera Tuning using reinforcement learning—0
Adver-City: Open-Source Multi-Modal Dataset for Collaborative Perception Under Adverse Weather Conditions—0
Fast and Automatic Object Registration for Human-Robot Collaboration in Industrial Manufacturing—0
CLASS: Cross-Level Attention and Supervision for Salient Objects Detection—0
Why Are Deep Representations Good Perceptual Quality Features?—0
A Neuromorphic Proto-Object Based Dynamic Visual Saliency Model with an FPGA Implementation—0
Class balanced underwater object detection dataset generated by class-wise style augmentation—0
AdvART: Adversarial Art for Camouflaged Object Detection Attacks—0
Fast, Accurate Detection of 100,000 Object Classes on a Single Machine—0
Class-balanced Open-set Semi-supervised Object Detection for Medical Images—0
A Proposal-Based Solution to Spatio-Temporal Action Detection in Untrimmed Videos—0
A Problem Reduction Approach for Visual Relationships Detection—0
Class-Aware Robust Adversarial Training for Object Detection—0
ACFNet: Adaptively-Cooperative Fusion Network for RGB-D Salient Object Detection—0
Class-Aware PillarMix: Can Mixed Sample Data Augmentation Enhance 3D Object Detection with Radar Point Clouds?—0
Class Attendance System in Education with Deep Learning Method—0
ACDC: The Adverse Conditions Dataset with Correspondences for Robust Semantic Driving Scene Perception—0
Evaluating and Enhancing Trustworthiness of LLMs in Perception Tasks—0
Class-agnostic Object Detection—0
Class Agnostic Instance-level Descriptor for Visual Instance Search—0
A Pre-study on Data Processing Pipelines for Roadside Object Detection Systems Towards Safer Road Infrastructure—0
CLAM: Coupled Localization and Mapping with Efficient Outlier Handling—0
ApproxNet: Content and Contention-Aware Video Analytics System for Embedded Clients—0
Advancing Security in AI Systems: A Novel Approach to Detecting Backdoors in Deep Neural Networks—0
MSDC-Net: Multi-Scale Dense and Contextual Networks for Automated Disparity Map for Stereo Matching—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