SOTAVerified

Object Detection

Papers

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Showing 3926–3950 of 10957 papers

TitleStatusHype
Cascade Attentive Dropout for Weakly Supervised Object Detection—0
A novel efficient Multi-view traffic-related object detection framework—0
FathomNet: An underwater image training database for ocean exploration and discovery—0
GeoGraph: Learning graph-based multi-view object detection with geometric cues end-to-end—0
COMO: Cross-Mamba Interaction and Offset-Guided Fusion for Multimodal Object Detection—0
Geometric Deep Learning and Equivariant Neural Networks—0
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection—0
f-Cal: Calibrated aleatoric uncertainty estimation from neural networks for robot perception—0
Efficient 3D Perception on Multi-Sweep Point Cloud with Gumbel Spatial Pruning—0
Effects of Real-Life Traffic Sign Alteration on YOLOv7- an Object Recognition Model—0
Cascade and Fusion: A Deep Learning Approach for Camouflaged Object Sensing—0
F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds—0
CASA: Class-Agnostic Shared Attributes in Vision-Language Models for Efficient Incremental Object Detection—0
FCOS: A simple and strong anchor-free object detector—0
A Novel Deep ML Architecture by Integrating Visual Simultaneous Localization and Mapping (vSLAM) into Mask R-CNN for Real-time Surgical Video Analysis—0
Effectiveness of Detection-based and Regression-based Approaches for Estimating Mask-Wearing Ratio—0
FD2-Net: Frequency-Driven Feature Decomposition Network for Infrared-Visible Object Detection—0
Effectiveness Assessment of Recent Large Vision-Language Models—0
A Deep Learning-based Detector for Brown Spot Disease in Passion Fruit Plant Leaves—0
Effective Fusion Factor in FPN for Tiny Object Detection—0
FeatSharp: Your Vision Model Features, Sharper—0
Geodesic-based Salient Object Detection—0
Effective Adaptation in Multi-Task Co-Training for Unified Autonomous Driving—0
Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models—0
EffCNet: An Efficient CondenseNet for Image Classification on NXP BlueBox—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