SOTAVerified

Object Detection

Papers

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Showing 6251–6300 of 10957 papers

TitleStatusHype
LiMoSeg: Real-time Bird's Eye View based LiDAR Motion Segmentation—0
Frustum Fusion: Pseudo-LiDAR and LiDAR Fusion for 3D Detection—0
Deep Neural Networks to Detect Weeds from Crops in Agricultural Environments in Real-Time: A ReviewCode2
Assessing learned features of Deep Learning applied to EEG—0
Natural Adversarial Objects—0
Fast Camouflaged Object Detection via Edge-based Reversible Re-calibration NetworkCode1
Remote Sensing Image Super-resolution and Object Detection: Benchmark and State of the Art—0
Sampling Equivariant Self-attention Networks for Object Detection in Aerial Images—0
Recognizing Vector Graphics without RasterizationCode1
Addressing Multiple Salient Object Detection via Dual-Space Long-Range DependenciesCode0
Bootstrap Your Object Detector via Mixed TrainingCode1
Towards Panoptic 3D Parsing for Single Image in the Wild—0
Video Salient Object Detection via Contrastive Features and Attention Modules—0
Boundary Distribution Estimation for Precise Object Detection—0
Absolute distance prediction based on deep learning object detection and monocular depth estimation modelsCode1
Beyond Point Clouds: A Knowledge-Aided High Resolution Imaging Radar Deep Detector for Autonomous Driving—0
Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification—0
VPFNet: Voxel-Pixel Fusion Network for Multi-class 3D Object Detection—0
PP-PicoDet: A Better Real-Time Object Detector on Mobile DevicesCode1
Sign-to-Speech Model for Sign Language Understanding: A Case Study of Nigerian Sign LanguageCode1
Structure Information is the Key: Self-Attention RoI Feature Extractor in 3D Object Detection—0
Learning Distilled Collaboration Graph for Multi-Agent PerceptionCode1
AdaPool: Exponential Adaptive Pooling for Information-Retaining DownsamplingCode1
DPNET: Dual-Path Network for Efficient Object Detectioj with Lightweight Self-Attention—0
Smart(Sampling)Augment: Optimal and Efficient Data Augmentation for Semantic Segmentation—0
A Comparative Review of Recent Few-Shot Object Detection Algorithms—0
A fast accurate fine-grain object detection model based on YOLOv4 deep neural network—0
Cross-Modality Fusion Transformer for Multispectral Object DetectionCode1
Improving Camouflaged Object Detection with the Uncertainty of Pseudo-edge LabelsCode0
Facial Emotion Recognition: A multi-task approach using deep learningCode0
Bridging Non Co-occurrence with Unlabeled In-the-wild Data for Incremental Object DetectionCode0
Privacy Aware Person Detection in Surveillance Data—0
Meta Guided Metric Learner for Overcoming Class Confusion in Few-Shot Road Object Detection—0
MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep LearningCode1
Mixed Supervised Object Detection by Transferring Mask Prior and Semantic SimilarityCode1
Beyond Classification: Knowledge Distillation using Multi-Object Impressions—0
SiamPolar: Semi-supervised Realtime Video Object Segmentation with Polar Representation—0
A Survey of Self-Supervised and Few-Shot Object DetectionCode1
RRNet: Relational Reasoning Network with Parallel Multi-scale Attention for Salient Object Detection in Optical Remote Sensing ImagesCode1
YOLO-ReT: Towards High Accuracy Real-time Object Detection on Edge GPUsCode1
Robust Ellipsoid-specific Fitting via Expectation Maximization—0
A Normalized Gaussian Wasserstein Distance for Tiny Object DetectionCode1
Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box RegressionCode1
Instant Response Few-shot Object Detection with Meta Strategy and Explicit Localization InferenceCode0
HR-RCNN: Hierarchical Relational Reasoning for Object Detection—0
Response-based Distillation for Incremental Object Detection—0
Bone Marrow Cell Recognition: Training Deep Object Detection with A New Loss Function—0
Raw Bayer Pattern Image Synthesis for Computer Vision-oriented Image Signal Processing Pipeline Design—0
MUSE: Feature Self-Distillation with Mutual Information and Self-Information—0
Deep Learning for UAV-based Object Detection and Tracking: A Survey—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