SOTAVerified

Image Classification

Image Classification is a fundamental task in vision recognition that aims to understand and categorize an image as a whole under a specific label. Unlike object detection, which involves classification and location of multiple objects within an image, image classification typically pertains to single-object images. When the classification becomes highly detailed or reaches instance-level, it is often referred to as image retrieval, which also involves finding similar images in a large database.

Source: Metamorphic Testing for Object Detection Systems

Papers

Showing 351400 of 10419 papers

TitleStatusHype
Communication-Efficient Federated Learning Based on Explanation-Guided Pruning for Remote Sensing Image ClassificationCode1
Complementary-Label Learning for Arbitrary Losses and ModelsCode1
Combining Metric Learning and Attention Heads For Accurate and Efficient Multilabel Image ClassificationCode1
Shredder: Learning Noise Distributions to Protect Inference PrivacyCode1
Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer LearningCode1
Compositional Explanations of NeuronsCode1
Learning Hierarchical Image Segmentation For Recognition and By RecognitionCode1
A Comprehensive Survey on Graph Neural NetworksCode1
Combating Label Noise in Deep Learning Using AbstentionCode1
Combating noisy labels by agreement: A joint training method with co-regularizationCode1
CoDeNet: Efficient Deployment of Input-Adaptive Object Detection on Embedded FPGAsCode1
CODE-CL: Conceptor-Based Gradient Projection for Deep Continual LearningCode1
Collaborative Transformers for Grounded Situation RecognitionCode1
Combining GANs and AutoEncoders for Efficient Anomaly DetectionCode1
CoAtNet: Marrying Convolution and Attention for All Data SizesCode1
Co2L: Contrastive Continual LearningCode1
CoCa: Contrastive Captioners are Image-Text Foundation ModelsCode1
CNN Filter DB: An Empirical Investigation of Trained Convolutional FiltersCode1
Embedded Prompt Tuning: Towards Enhanced Calibration of Pretrained Models for Medical ImagesCode1
Co^2L: Contrastive Continual LearningCode1
Co-Correcting: Noise-tolerant Medical Image Classification via mutual Label CorrectionCode1
Combining Human Predictions with Model Probabilities via Confusion Matrices and CalibrationCode1
Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional NetworksCode1
Contrastive Learning of Generalized Game RepresentationsCode1
CLR: Channel-wise Lightweight Reprogramming for Continual LearningCode1
CLIP the Gap: A Single Domain Generalization Approach for Object DetectionCode1
FocusNet: Classifying Better by Focusing on Confusing ClassesCode1
Clusterability as an Alternative to Anchor Points When Learning with Noisy LabelsCode1
CLIP meets DINO for Tuning Zero-Shot Classifier using Unlabeled Image CollectionsCode1
CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object NavigationCode1
A Comprehensive Empirical Evaluation on Online Continual LearningCode1
A Fast Knowledge Distillation Framework for Visual RecognitionCode1
ClusterFormer: Clustering As A Universal Visual LearnerCode1
A Comprehensive Approach to Unsupervised Embedding Learning based on AND AlgorithmCode1
CleanNet: Transfer Learning for Scalable Image Classifier Training with Label NoiseCode1
CLIP4IDC: CLIP for Image Difference CaptioningCode1
CLCNet: Rethinking of Ensemble Modeling with Classification Confidence NetworkCode1
A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-language ModelCode1
Clean-Label Backdoor Attacks on Video Recognition ModelsCode1
Optimized spiking neurons classify images with high accuracy through temporal coding with two spikesCode1
ViViT: A Video Vision TransformerCode1
Class-Incremental Grouping Network for Continual Audio-Visual LearningCode1
An Open-source Tool for Hyperspectral Image Augmentation in TensorflowCode1
4-bit Shampoo for Memory-Efficient Network TrainingCode1
Class Distance Weighted Cross-Entropy Loss for Ulcerative Colitis Severity EstimationCode1
CLCC: Contrastive Learning for Color ConstancyCode1
CLIP-guided Federated Learning on Heterogeneous and Long-Tailed DataCode1
Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image ClassificationCode1
Class-Aware Patch Embedding Adaptation for Few-Shot Image ClassificationCode1
Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image EncodingCode1
Show:102550
← PrevPage 8 of 209Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified