SOTAVerified

Object Recognition

Object recognition is a computer vision technique for detecting + classifying objects in images or videos. Since this is a combined task of object detection plus image classification, the state-of-the-art tables are recorded for each component task here and here.

( Image credit: Tensorflow Object Detection API )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–175 of 2042 papers

TitleStatusHype
UAV (Unmanned Aerial Vehicles): Diverse Applications of UAV Datasets in Segmentation, Classification, Detection, and Tracking—0
Limited but consistent gains in adversarial robustness by co-training object recognition models with human EEG—0
Low-Resolution Object Recognition with Cross-Resolution Relational Contrastive Distillation—0
Discriminative Spatial-Semantic VOS Solution: 1st Place Solution for 6th LSVOSCode0
OpenNav: Efficient Open Vocabulary 3D Object Detection for Smart Wheelchair NavigationCode0
Optimizing Spatio-Temporal Information Processing in Spiking Neural Networks via Unconstrained Leaky Integrate-and-Fire Neurons and Hybrid CodingCode0
Finding Closure: A Closer Look at the Gestalt Law of Closure in Convolutional Neural Networks—0
How Small is Big Enough? Open Labeled Datasets and the Development of Deep Learning—0
Category-Prompt Refined Feature Learning for Long-Tailed Multi-Label Image ClassificationCode1
Robust Domain Generalization for Multi-modal Object Recognition—0
UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond ScalingCode3
On the Element-Wise Representation and Reasoning in Zero-Shot Image Recognition: A Systematic SurveyCode1
ArtVLM: Attribute Recognition Through Vision-Based Prefix Language Modeling—0
Understanding How Blind Users Handle Object Recognition Errors: Strategies and Challenges—0
Source-Free Domain-Invariant Performance Prediction—0
A General Ambiguity Model for Binary Edge Images with Edge Tracing and its Implementation—0
THOR2: Topological Analysis for 3D Shape and Color-Based Human-Inspired Object Recognition in Unseen EnvironmentsCode0
MarvelOVD: Marrying Object Recognition and Vision-Language Models for Robust Open-Vocabulary Object DetectionCode1
EZSR: Event-based Zero-Shot Recognition—0
Combined CNN and ViT features off-the-shelf: Another astounding baseline for recognition—0
AI-based Density Recognition—0
A Dataset for Crucial Object Recognition in Blind and Low-Vision Individuals' NavigationCode0
Affordance Labeling and Exploration: A Manifold-Based Approach—0
EmoCAM: Toward Understanding What Drives CNN-based Emotion Recognition—0
OCTrack: Benchmarking the Open-Corpus Multi-Object Tracking—0
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All datasetsshape biasCIFAR10-DVSN-Caltech 101ObjectNet (All classes)ObjectNet (ImageNet classes)ObjectNet (ImageNet classes, trained on ImageNet)DVS128 GestureMECCANON-CARS

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Imagenshape bias98.7—Unverified
2Stable Diffusionshape bias92.7—Unverified
3Partishape bias91.7—Unverified
4ViT-22B-384shape bias86.4—Unverified
5ViT-22B-560shape bias83.8—Unverified
6CLIP (ViT-B)shape bias79.9—Unverified
7ViT-22B-224shape bias78—Unverified
8ResNet-50 (L2 eps 5.0 adv trained)shape bias69.5—Unverified
9ResNet-50 (with strong augmentations)shape bias62.2—Unverified
10SWSL (ResNeXt-101)shape bias49.8—Unverified
#ModelMetricClaimedVerifiedStatus
1Spike-VGG11Accuracy (% )85.55—Unverified
2SSNNAccuracy (% )78.57—Unverified
#ModelMetricClaimedVerifiedStatus
1Spike-VGG11Accuracy (% )85.62—Unverified
2SSNNAccuracy (% )79.25—Unverified
#ModelMetricClaimedVerifiedStatus
1ObjectNet-BaselineTop 5 Accuracy18.75—Unverified
2yunTop 5 Accuracy14.75—Unverified
#ModelMetricClaimedVerifiedStatus
1ObjectNet-BaselineTop 5 Accuracy52.24—Unverified
2DYTop 5 Accuracy0.08—Unverified
#ModelMetricClaimedVerifiedStatus
1ObjectNet-BaselineTop 5 Accuracy52.24—Unverified
2AJ2021Top 5 Accuracy27.68—Unverified
#ModelMetricClaimedVerifiedStatus
1SSNNAccuracy (% )94.91—Unverified
#ModelMetricClaimedVerifiedStatus
1Faster-RCNNmAP30.39—Unverified
#ModelMetricClaimedVerifiedStatus
1Spike-VGG11Accuracy (% )96—Unverified