SOTAVerified

Object Detection

Papers

Showing 95519575 of 10957 papers

TitleStatusHype
DC-SPP-YOLO: Dense Connection and Spatial Pyramid Pooling Based YOLO for Object Detection0
LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving0
GRIP: Generative Robust Inference and Perception for Semantic Robot Manipulation in Adversarial Environments0
Class-incremental Learning via Deep Model ConsolidationCode0
The Probabilistic Object Detection Challenge0
Software-defined Design Space Exploration for an Efficient DNN Accelerator Architecture0
IvaNet: Learning to jointly detect and segment objets with the help of Local Top-Down Modules0
AttoNets: Compact and Efficient Deep Neural Networks for the Edge via Human-Machine Collaborative Design0
Concatenated Feature Pyramid Network for Instance Segmentation0
Did You Miss the Sign? A False Negative Alarm System for Traffic Sign Detectors0
BLVD: Building A Large-scale 5D Semantics Benchmark for Autonomous DrivingCode0
SCNN: A General Distribution based Statistical Convolutional Neural Network with Application to Video Object Detection0
SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition0
Learning Orientation-Estimation Convolutional Neural Network for Building Detection in Optical Remote Sensing Image0
Depth Coefficients for Depth Completion0
Visual Semantic Information Pursuit: A Survey0
Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection0
Structured Knowledge Distillation for Dense PredictionCode0
Accuracy Booster: Performance Boosting using Feature Map Re-calibration0
Sliced Wasserstein Discrepancy for Unsupervised Domain AdaptationCode0
Hierarchy Denoising Recursive Autoencoders for 3D Scene Layout Prediction0
Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom UpCode0
Integrating NVIDIA Deep Learning Accelerator (NVDLA) with RISC-V SoC on FireSimCode0
Improve Object Detection by Data Enhancement based on Generative Adversarial Nets0
Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object DetectionCode0
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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