SOTAVerified

Object Detection

Papers

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Showing 4051–4075 of 10957 papers

TitleStatusHype
Finding a Needle in a Haystack: Tiny Flying Object Detection in 4K Videos using a Joint Detection-and-Tracking Approach—0
Finding Dino: A plug-and-play framework for unsupervised detection of out-of-distribution objects using prototypes—0
Finding Original Image Of A Sub Image Using CNNs—0
Finding the Reflection Point: Unpadding Images to Remove Data Augmentation Artifacts in Large Open Source Image Datasets for Machine Learning—0
Edge-Cloud Cooperation for DNN Inference via Reinforcement Learning and Supervised Learning—0
Edge-Cloud Collaborated Object Detection via Difficult-Case Discriminator—0
Capacity Constraint Analysis Using Object Detection for Smart Manufacturing—0
FindMeIfYouCan: Bringing Open Set metrics to near , far and farther Out-of-Distribution Object Detection—0
A novel approach to remove foreign objects from chest X-ray images—0
Concealed Object Detection for Passive Millimeter-Wave Security Imaging Based on Task-Aligned Detection Transformer—0
Edge Based Oriented Object Detection—0
Fine-grained Correlation Loss for Regression—0
A Novel Algorithm for Exact Concave Hull Extraction—0
Edge-AI for Agriculture: Lightweight Vision Models for Disease Detection in Resource-Limited Settings—0
Fine-Grained Open-Vocabulary Object Recognition via User-Guided Segmentation—0
Fine-Grained Open-Vocabulary Object Detection with Fined-Grained Prompts: Task, Dataset and Benchmark—0
EDF: Ensemble, Distill, and Fuse for Easy Video Labeling—0
Can you tell where in India I am from? Comparing humans and computers on fine-grained race face classification—0
A Deep Learning Approach to Object Affordance Segmentation—0
AccMPEG: Optimizing Video Encoding for Video Analytics—0
Grid-VLP: Revisiting Grid Features for Vision-Language Pre-training—0
Fine-grained Synthesis of Unrestricted Adversarial Examples—0
EdaDet: Open-Vocabulary Object Detection Using Early Dense Alignment—0
Fine-tuned Pre-trained Mask R-CNN Models for Surface Object Detection—0
ECPC-IDS:A benchmark endometrail cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions—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