SOTAVerified

Object Detection

Papers

Showing 52515275 of 10957 papers

TitleStatusHype
Defending Multimodal Fusion Models against Single-Source Adversaries0
Excavating RoI Attention for Underwater Object DetectionCode1
The Second Place Solution for The 4th Large-scale Video Object Segmentation Challenge--Track 3: Referring Video Object Segmentation0
Complementary datasets to COCO for object detectionCode0
Explore Spatio-temporal Aggregation for Insubstantial Object Detection: Benchmark Dataset and BaselineCode1
LidarMultiNet: Unifying LiDAR Semantic Segmentation, 3D Object Detection, and Panoptic Segmentation in a Single Multi-task Network0
A Novel Algorithm for Exact Concave Hull Extraction0
YOLOSA: Object detection based on 2D local feature superimposed self-attentionCode0
SSMI: How to Make Objects of Interest Disappear without Accessing Object Detectors?0
Open Vocabulary Object Detection with Proposal Mining and Prediction EqualizationCode1
Behavior Transformers: Cloning k modes with one stoneCode1
Online progressive instance-balanced sampling for weakly supervised object detection0
EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision ApplicationsCode2
Sensitivity of Average Precision to Bounding Box PerturbationsCode0
BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object DetectionCode2
Improving Localization for Semi-Supervised Object DetectionCode0
LargeKernel3D: Scaling up Kernels in 3D Sparse CNNsCode2
LDD: A Dataset for Grape Diseases Object Detection and Instance Segmentation0
Remote Sensing Image Classification using Transfer Learning and Attention Based Deep Neural Network0
Knowledge Distillation for Oriented Object Detection on Aerial Images0
A Novel Long-term Iterative Mining Scheme for Video Salient Object Detection0
Dynamic Message Propagation Network for RGB-D Salient Object Detection0
Real-time Full-stack Traffic Scene Perception for Autonomous Driving with Roadside Cameras0
Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point Clouds with Masked Occupancy AutoencodersCode2
KOLOMVERSE: Korea open large-scale image dataset for object detection in the maritime universeCode0
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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