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 76–100 of 2042 papers

TitleStatusHype
Hierarchical Superpixel Segmentation via Structural Information TheoryCode0
Perceptual Inductive Bias Is What You Need Before Contrastive Learning—0
Spatial457: A Diagnostic Benchmark for 6D Spatial Reasoning of Large Mutimodal Models—0
Enhanced Multimodal RAG-LLM for Accurate Visual Question Answering—0
Sample Correlation for Fingerprinting Deep Face RecognitionCode0
AI-based Wearable Vision Assistance System for the Visually Impaired: Integrating Real-Time Object Recognition and Contextual Understanding Using Large Vision-Language Models—0
The same but different: impact of animal facility sanitary status on a transgenic mouse model of Alzheimer's disease—0
Comprehensive Multi-Modal Prototypes are Simple and Effective Classifiers for Vast-Vocabulary Object DetectionCode1
SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object LocalizationCode0
Real Classification by Description: Extending CLIP's Limits of Part Attributes RecognitionCode0
Targeted View-Invariant Adversarial Perturbations for 3D Object RecognitionCode0
Efficient Oriented Object Detection with Enhanced Small Object Recognition in Aerial Images—0
CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal DynamicsCode1
WiseAD: Knowledge Augmented End-to-End Autonomous Driving with Vision-Language ModelCode1
CogNav: Cognitive Process Modeling for Object Goal Navigation with LLMs—0
Proactive Adversarial Defense: Harnessing Prompt Tuning in Vision-Language Models to Detect Unseen Backdoored Images—0
Enhancing 3D Object Detection in Autonomous Vehicles Based on Synthetic Virtual Environment Analysis—0
Can foundation models actively gather information in interactive environments to test hypotheses?—0
Expanding Event Modality Applications through a Robust CLIP-Based EncoderCode1
Optimized CNNs for Rapid 3D Point Cloud Object Recognition—0
LVLM-COUNT: Enhancing the Counting Ability of Large Vision-Language ModelsCode0
Textured As-Is BIM via GIS-informed Point Cloud Segmentation—0
Verbalized Representation Learning for Interpretable Few-Shot GeneralizationCode0
Grid-augmented vision: A simple yet effective approach for enhanced spatial understanding in multi-modal agentsCode0
NEMO: Can Multimodal LLMs Identify Attribute-Modified Objects?—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