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

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Showing 2801–2825 of 10420 papers

TitleStatusHype
LMM-Regularized CLIP Embeddings for Image Classification—0
Explicit and Implicit Graduated Optimization in Deep Neural NetworksCode0
On the Generalizability of Iterative Patch Selection for Memory-Efficient High-Resolution Image ClassificationCode0
Semi-Supervised Risk Control via Prediction-Powered Inference—0
CATALOG: A Camera Trap Language-guided Contrastive Learning ModelCode0
Linked Adapters: Linking Past and Future to Present for Effective Continual Learning—0
MVQ:Towards Efficient DNN Compression and Acceleration with Masked Vector Quantization—0
Data Pruning Can Do More: A Comprehensive Data Pruning Approach for Object Re-identificationCode0
Err on the Side of Texture: Texture Bias on Real DataCode0
Robust image classification with multi-modal large language models—0
DQA: An Efficient Method for Deep Quantization of Deep Neural Network Activations—0
Advancing Attribution-Based Neural Network Explainability through Relative Absolute Magnitude Layer-Wise Relevance Propagation and Multi-Component EvaluationCode0
An Efficient Framework for Enhancing Discriminative Models via Diffusion TechniquesCode0
Stochastic Learning of Non-Conjugate Variational Posterior for Image Classification—0
Learned Compression for Compressed LearningCode0
Embeddings are all you need! Achieving High Performance Medical Image Classification through Training-Free Embedding Analysis—0
STEAM: Squeeze and Transform Enhanced Attention Module—0
Multimodal Approaches to Fair Image Classification: An Ethical Perspective—0
ALoRE: Efficient Visual Adaptation via Aggregating Low Rank Experts—0
An Enhancement of CNN Algorithm for Rice Leaf Disease Image Classification in Mobile Applications—0
Post-Training Non-Uniform Quantization for Convolutional Neural Networks—0
Image Classification Using Singular Value Decomposition and OptimizationCode0
Leveraging Content and Context Cues for Low-Light Image EnhancementCode0
Real-time Chest X-Ray Distributed Decision Support for Resource-constrained Clinics—0
Impact of Privacy Parameters on Deep Learning Models for Image Classification—0
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All datasetsImageNetCIFAR-10CIFAR-100STL-10ObjectNetMNISTSVHNiNaturalist 2018ImageNet ReaLFlowers-102Clothing1Mmini WebVision 1.0

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91—Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98—Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94—Unverified
4DaViT-GTop 1 Accuracy90.4—Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
6DaViT-HTop 1 Accuracy90.2—Unverified
7SwinV2-GTop 1 Accuracy90.17—Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1—Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05—Unverified
10RevCol-HTop 1 Accuracy90—Unverified