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 25762600 of 10420 papers

TitleStatusHype
Transformer Meets Twicing: Harnessing Unattended Residual InformationCode0
MedUnifier: Unifying Vision-and-Language Pre-training on Medical Data with Vision Generation Task using Discrete Visual Representations0
AI-Augmented Thyroid Scintigraphy for Robust Classification0
Model-Agnostic Meta-Policy Optimization via Zeroth-Order Estimation: A Linear Quadratic Regulator Perspective0
Few-shot crack image classification using clip based on bayesian optimization0
Fruit-HSNet: A Machine Learning Approach for Hyperspectral Image-Based Fruit Ripeness Prediction0
A Residual Multi-task Network for Joint Classification and Regression in Medical Imaging0
Learning Mask Invariant Mutual Information for Masked Image Modeling0
InPK: Infusing Prior Knowledge into Prompt for Vision-Language Models0
Spatial-Spectral Diffusion Contrastive Representation Network for Hyperspectral Image Classification0
Language-Informed Hyperspectral Image Synthesis for Imbalanced-Small Sample Classification via Semi-Supervised Conditional Diffusion Model0
Vision Transformers on the Edge: A Comprehensive Survey of Model Compression and Acceleration Strategies0
I Know What I Don't Know: Improving Model Cascades Through Confidence Tuning0
MedKAN: An Advanced Kolmogorov-Arnold Network for Medical Image Classification0
Dual Classification Head Self-training Network for Cross-scene Hyperspectral Image Classification0
Diff-SySC: An Approach Using Diffusion Models for Semi-Supervised Image Classification0
A Fusion Model for Art Style and Author Recognition Based on Convolutional Neural Networks and Transformers0
A Priori Generalizability Estimate for a CNN0
Neural Attention: A Novel Mechanism for Enhanced Expressive Power in Transformer Models0
Can Score-Based Generative Modeling Effectively Handle Medical Image Classification?Code0
A Transformer-in-Transformer Network Utilizing Knowledge Distillation for Image Recognition0
Disentangling Visual Transformers: Patch-level Interpretability for Image Classification0
AUKT: Adaptive Uncertainty-Guided Knowledge Transfer with Conformal Prediction0
A Multi-Scale Isolation Forest Approach for Real-Time Detection and Filtering of FGSM Adversarial Attacks in Video Streams of Autonomous Vehicles0
MOB-GCN: A Novel Multiscale Object-Based Graph Neural Network for Hyperspectral Image 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