SOTAVerified

Object Detection

Papers

Showing 58015825 of 10957 papers

TitleStatusHype
Deep feature compression for collaborative object detection0
Improving the accuracy of neural networks in analog computing-in-memory systems by a generalized quantization method0
Improving Sonar Image Patch Matching via Deep Learning0
Deep Feature Based Contextual Model for Object Detection0
Improving Small Object Proposals for Company Logo Detection0
Long Term Object Detection and Tracking in Collaborative Learning Environments0
DETR++: Taming Your Multi-Scale Detection Transformer0
DEEPEYE: A Compact and Accurate Video Comprehension at Terminal Devices Compressed with Quantization and Tensorization0
DETR with Additional Global Aggregation for Cross-domain Weakly Supervised Object Detection0
Automatic Camera Control and Directing with an Ultra-High-Definition Collaborative Recording System0
MLF-DET: Multi-Level Fusion for Cross-Modal 3D Object Detection0
MLMA-Net: multi-level multi-attentional learning for multi-label object detection in textile defect images0
Look, Perceive and Segment: Finding the Salient Objects in Images via Two-Stream Fixation-Semantic CNNs0
Look, Remember and Reason: Grounded reasoning in videos with language models0
Improving SAM for Camouflaged Object Detection via Dual Stream Adapters0
Deep Event-based Object Detection in Autonomous Driving: A Survey0
Automatic Bounding Box Annotation with Small Training Data Sets for Industrial Manufacturing0
Lost in Compression: the Impact of Lossy Image Compression on Variable Size Object Detection within Infrared Imagery0
Improving Robustness of LiDAR-Camera Fusion Model against Weather Corruption from Fusion Strategy Perspective0
Lost in Translation: When GPT-4V(ision) Can't See Eye to Eye with Text. A Vision-Language-Consistency Analysis of VLLMs and Beyond0
LoTE-Animal: A Long Time-span Dataset for Endangered Animal Behavior Understanding0
LOWA: Localize Objects in the Wild with Attributes0
Improving Robustness of Feature Representations to Image Deformations using Powered Convolution in CNNs0
Mix-up Self-Supervised Learning for Contrast-agnostic Applications0
Improving robustness against common corruptions with frequency biased models0
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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