SOTAVerified

Object Detection

Papers

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Showing 9451–9500 of 10957 papers

TitleStatusHype
AttoNets: Compact and Efficient Deep Neural Networks for the Edge via Human-Machine Collaborative Design—0
Concatenated Feature Pyramid Network for Instance Segmentation—0
SCNN: A General Distribution based Statistical Convolutional Neural Network with Application to Video Object Detection—0
Did You Miss the Sign? A False Negative Alarm System for Traffic Sign Detectors—0
BLVD: Building A Large-scale 5D Semantics Benchmark for Autonomous DrivingCode0
Learning Orientation-Estimation Convolutional Neural Network for Building Detection in Optical Remote Sensing Image—0
SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition—0
Visual Semantic Information Pursuit: A Survey—0
Depth Coefficients for Depth Completion—0
Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection—0
Structured Knowledge Distillation for Dense PredictionCode0
Accuracy Booster: Performance Boosting using Feature Map Re-calibration—0
Sliced Wasserstein Discrepancy for Unsupervised Domain AdaptationCode0
Hierarchy Denoising Recursive Autoencoders for 3D Scene Layout Prediction—0
BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object DetectorsCode1
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 Nets—0
Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object DetectionCode0
The H3D Dataset for Full-Surround 3D Multi-Object Detection and Tracking in Crowded Urban Scenes—0
TKD: Temporal Knowledge Distillation for Active Perception—0
Reduced Focal Loss: 1st Place Solution to xView object detection in Satellite Imagery—0
CAD-Net: A Context-Aware Detection Network for Objects in Remote Sensing ImageryCode0
Feature Selective Anchor-Free Module for Single-Shot Object DetectionCode0
Progress Regression RNN for Online Spatial-Temporal Action Localization in Unconstrained Videos—0
DPOD: 6D Pose Object Detector and RefinerCode0
Salient object detection on hyperspectral images using features learned from unsupervised segmentation taskCode0
Stereo R-CNN based 3D Object Detection for Autonomous DrivingCode0
An Annotation Saved is an Annotation Earned: Using Fully Synthetic Training for Object Instance DetectionCode0
Deep High-Resolution Representation Learning for Human Pose EstimationCode1
Generalized Intersection over Union: A Metric and A Loss for Bounding Box RegressionCode1
Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse WeatherCode0
Predictive Inequity in Object DetectionCode0
Similarity Learning Networks for Animal Individual Re-Identification -- Beyond the Capabilities of a Human Observer—0
LipschitzLR: Using theoretically computed adaptive learning rates for fast convergenceCode0
Augmentation for small object detectionCode1
Detector-in-Detector: Multi-Level Analysis for Human-PartsCode0
PIXOR: Real-time 3D Object Detection from Point CloudsCode1
Min-Entropy Latent Model for Weakly Supervised Object DetectionCode0
R^2-CNN: Fast Tiny Object Detection in Large-Scale Remote Sensing Images—0
Network Offloading Policies for Cloud Robotics: a Learning-based Approach—0
Deep learning algorithms out-perform veterinary pathologists in detecting the mitotically most active tumor regionCode0
A system for generating complex physically accurate sensor images for automotive applications—0
You Only Look & Listen Once: Towards Fast and Accurate Visual GroundingCode0
S-DOD-CNN: Doubly Injecting Spatially-Preserved Object Information for Event Recognition—0
Towards Segmenting Anything That MovesCode0
Bag of Freebies for Training Object Detection Neural NetworksCode3
NeurAll: Towards a Unified Visual Perception Model for Automated Driving—0
Vulnerable road user detection: state-of-the-art and open challenges—0
Software-Defined FPGA Accelerator Design for Mobile Deep Learning Applications—0
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All datasetsCOCO test-devCOCO minivalCOCO-OCOCO 2017 valPASCAL VOC 2007COCO 2017CrowdHuman (full body)CPPE-5LVIS v1.0 valManga109-s 15testPKU-DDD17-CarWaymo 2D detection all_ns f0val

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