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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3476–3500 of 10420 papers

TitleStatusHype
Model-Agnostic Zeroth-Order Policy Optimization for Meta-Learning of Ergodic Linear Quadratic Regulators—0
Superpixelwise Low-rank Approximation based Partial Label Learning for Hyperspectral Image ClassificationCode0
On Understanding Attention-Based In-Context Learning for Categorical Data—0
Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack—0
ModelLock: Locking Your Model With a Spell—0
Free Performance Gain from Mixing Multiple Partially Labeled Samples in Multi-label Image Classification—0
Exposing Image Classifier Shortcuts with Counterfactual Frequency (CoF) Tables—0
CLIP model is an Efficient Online Lifelong LearnerCode0
Class Machine Unlearning for Complex Data via Concepts Inference and Data Poisoning—0
A Neurosymbolic Framework for Bias Correction in Convolutional Neural Networks—0
Transformer-based Federated Learning for Multi-Label Remote Sensing Image Classification—0
LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity SynchronizationCode0
What Do You See? Enhancing Zero-Shot Image Classification with Multimodal Large Language ModelsCode0
Grounding Stylistic Domain Generalization with Quantitative Domain Shift Measures and Synthetic Scene ImagesCode0
Harnessing Increased Client Participation with Cohort-Parallel Federated Learning—0
Scalable Visual State Space Model with Fractal Scanning—0
Pre-Trained Vision-Language Models as Partial Annotators—0
Domain Wall Magnetic Tunnel Junction Reliable Integrate and Fire Neuron—0
Adaptive Gradient Clipping for Robust Federated Learning—0
Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property—0
A Lost Opportunity for Vision-Language Models: A Comparative Study of Online Test-Time Adaptation for Vision-Language Models—0
Exploration of Multi-Scale Image Fusion Systems in Intelligent Medical Image Analysis—0
Stochastic Online Conformal Prediction with Semi-Bandit Feedback—0
Semantic Equitable Clustering: A Simple and Effective Strategy for Clustering Vision Tokens—0
Markerless retro-identification complements re-identification of individual insect subjects in archived image data of biological experiments—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