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

Showing 51100 of 2042 papers

TitleStatusHype
Benchmarking Multimodal Mathematical Reasoning with Explicit Visual DependencyCode1
Computing the Testing Error Without a Testing SetCode1
Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking ConsistencyCode1
Comprehensive Multi-Modal Prototypes are Simple and Effective Classifiers for Vast-Vocabulary Object DetectionCode1
Large-scale Remote Sensing Image Target Recognition and Automatic AnnotationCode1
CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal DynamicsCode1
FSD: Fast Self-Supervised Single RGB-D to Categorical 3D ObjectsCode1
Improving ProtoNet for Few-Shot Video Object Recognition: Winner of ORBIT Challenge 2022Code1
Convolutional Neural Networks with Gated Recurrent ConnectionsCode1
Adaptive Subspaces for Few-Shot LearningCode1
Rehearsal-Free Continual Learning over Small Non-I.I.D. BatchesCode1
Intriguing properties of generative classifiersCode1
F-SIOL-310: A Robotic Dataset and Benchmark for Few-Shot Incremental Object LearningCode1
Exploring the Transferability of Visual Prompting for Multimodal Large Language ModelsCode1
Explainable GeoAI: Can saliency maps help interpret artificial intelligence's learning process? An empirical study on natural feature detectionCode1
Efficient Attention: Attention with Linear ComplexitiesCode1
Full-Glow: Fully conditional Glow for more realistic image generationCode1
Ev-TTA: Test-Time Adaptation for Event-Based Object RecognitionCode1
EventCLIP: Adapting CLIP for Event-based Object RecognitionCode1
Expanding Event Modality Applications through a Robust CLIP-Based EncoderCode1
Equalization Loss for Long-Tailed Object RecognitionCode1
Egoshots, an ego-vision life-logging dataset and semantic fidelity metric to evaluate diversity in image captioning modelsCode1
Empirical Upper Bound, Error Diagnosis and Invariance Analysis of Modern Object DetectorsCode1
EvDistill: Asynchronous Events to End-task Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge DistillationCode1
Explainability-Aware One Point Attack for Point Cloud Neural NetworksCode1
Domain Generalization for Object Recognition with Multi-task AutoencodersCode1
Attribution in Scale and SpaceCode1
Doubly Right Object Recognition: A Why Prompt for Visual RationalesCode1
Do Adversarially Robust ImageNet Models Transfer Better?Code1
Billion-scale semi-supervised learning for image classificationCode1
Brain-Score: Which Artificial Neural Network for Object Recognition is most Brain-Like?Code1
Enriching ImageNet with Human Similarity Judgments and Psychological EmbeddingsCode1
Event-based Asynchronous Sparse Convolutional NetworksCode1
BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in VideoCode1
EventRPG: Event Data Augmentation with Relevance Propagation GuidanceCode1
Evolving Deep Neural NetworksCode1
CLoVe: Encoding Compositional Language in Contrastive Vision-Language ModelsCode1
Category-Prompt Refined Feature Learning for Long-Tailed Multi-Label Image ClassificationCode1
Exploit Clues from Views: Self-Supervised and Regularized Learning for Multiview Object RecognitionCode1
Causal Transportability for Visual RecognitionCode1
CLIP-guided Federated Learning on Heterogeneous and Long-Tailed DataCode1
FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing ImageryCode1
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance SegmentationCode1
From Chaos Comes Order: Ordering Event Representations for Object Recognition and DetectionCode1
Divergences in Color Perception between Deep Neural Networks and HumansCode1
CSIM: A Copula-based similarity index sensitive to local changes for Image quality assessmentCode1
Compact Generalized Non-local NetworkCode1
Comics Datasets Framework: Mix of Comics datasets for detection benchmarkingCode1
DOCTOR: A Simple Method for Detecting Misclassification ErrorsCode1
Dual-Hybrid Attention Network for Specular Highlight RemovalCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Imagenshape bias98.7Unverified
2Stable Diffusionshape bias92.7Unverified
3Partishape bias91.7Unverified
4ViT-22B-384shape bias86.4Unverified
5ViT-22B-560shape bias83.8Unverified
6CLIP (ViT-B)shape bias79.9Unverified
7ViT-22B-224shape bias78Unverified
8ResNet-50 (L2 eps 5.0 adv trained)shape bias69.5Unverified
9ResNet-50 (with strong augmentations)shape bias62.2Unverified
10SWSL (ResNeXt-101)shape bias49.8Unverified
#ModelMetricClaimedVerifiedStatus
1Spike-VGG11Accuracy (% )85.55Unverified
2SSNNAccuracy (% )78.57Unverified
#ModelMetricClaimedVerifiedStatus
1Spike-VGG11Accuracy (% )85.62Unverified
2SSNNAccuracy (% )79.25Unverified
#ModelMetricClaimedVerifiedStatus
1ObjectNet-BaselineTop 5 Accuracy18.75Unverified
2yunTop 5 Accuracy14.75Unverified
#ModelMetricClaimedVerifiedStatus
1ObjectNet-BaselineTop 5 Accuracy52.24Unverified
2DYTop 5 Accuracy0.08Unverified
#ModelMetricClaimedVerifiedStatus
1ObjectNet-BaselineTop 5 Accuracy52.24Unverified
2AJ2021Top 5 Accuracy27.68Unverified
#ModelMetricClaimedVerifiedStatus
1SSNNAccuracy (% )94.91Unverified
#ModelMetricClaimedVerifiedStatus
1Faster-RCNNmAP30.39Unverified
#ModelMetricClaimedVerifiedStatus
1Spike-VGG11Accuracy (% )96Unverified