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 40264050 of 10420 papers

TitleStatusHype
Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning ApproachCode0
I Bet You Did Not Mean That: Testing Semantic Importance via BettingCode0
Cartoon Face Recognition: A Benchmark DatasetCode0
IDEA: Image Description Enhanced CLIP-AdapterCode0
IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural NetworksCode0
Attribute-Guided Multi-Level Attention Network for Fine-Grained Fashion RetrievalCode0
Hyperspectral Image Classification With Contrastive Graph Convolutional NetworkCode0
AiSciVision: A Framework for Specializing Large Multimodal Models in Scientific Image ClassificationCode0
Hyperspectral Image Classification with Markov Random Fields and a Convolutional Neural NetworkCode0
HyperZZW Operator Connects Slow-Fast Networks for Full Context InteractionCode0
Cross-View Image Matching for Geo-localization in Urban EnvironmentsCode0
Cross-to-merge training with class balance strategy for learning with noisy labelsCode0
Attribute-based Visual Reprogramming for Image Classification with CLIPCode0
Hyperspectral Image Classification via Sparse Representation With Incremental DictionariesCode0
Tuned Compositional Feature Replays for Efficient Stream LearningCode0
Artificial Generation of Big Data for Improving Image Classification: A Generative Adversarial Network Approach on SAR DataCode0
Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEsCode0
Cross-Part Learning for Fine-Grained Image ClassificationCode0
Attentive NormalizationCode0
Hyperspectral Image Classification in the Presence of Noisy LabelsCode0
Hyperspectral Image Classification via Transformer-based Spectral-Spatial Attention Decoupling and Adaptive GatingCode0
Hyper-Process Model: A Zero-Shot Learning algorithm for Regression Problems based on Shape AnalysisCode0
Federated Learning in Non-IID Settings Aided by Differentially Private Synthetic DataCode0
Compositional Model based Fisher Vector Coding for Image ClassificationCode0
Cross Modality Knowledge Distillation for Multi-Modal Aerial View Object ClassificationCode0
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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
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified