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 1451–1475 of 10419 papers

TitleStatusHype
LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity SynchronizationCode0
A Neurosymbolic Framework for Bias Correction in Convolutional Neural Networks—0
Grounding Stylistic Domain Generalization with Quantitative Domain Shift Measures and Synthetic Scene ImagesCode0
CLIP model is an Efficient Online Lifelong LearnerCode0
What Do You See? Enhancing Zero-Shot Image Classification with Multimodal Large Language ModelsCode0
Harnessing Increased Client Participation with Cohort-Parallel Federated Learning—0
Transformer-based Federated Learning for Multi-Label Remote Sensing Image Classification—0
Class Machine Unlearning for Complex Data via Concepts Inference and Data Poisoning—0
Exposing Image Classifier Shortcuts with Counterfactual Frequency (CoF) Tables—0
EMR-Merging: Tuning-Free High-Performance Model MergingCode2
Pre-Trained Vision-Language Models as Partial Annotators—0
Exploration of Multi-Scale Image Fusion Systems in Intelligent Medical Image Analysis—0
A Lost Opportunity for Vision-Language Models: A Comparative Study of Online Test-Time Adaptation for Vision-Language Models—0
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern GeneratorsCode2
Domain Wall Magnetic Tunnel Junction Reliable Integrate and Fire Neuron—0
Scalable Visual State Space Model with Fractal Scanning—0
Adaptive Gradient Clipping for Robust Federated Learning—0
Segformer++: Efficient Token-Merging Strategies for High-Resolution Semantic SegmentationCode1
Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property—0
Stochastic Online Conformal Prediction with Semi-Bandit Feedback—0
Task agnostic continual learning with Pairwise layer architectureCode0
Semantic Equitable Clustering: A Simple and Effective Strategy for Clustering Vision Tokens—0
FLARE up your data: Diffusion-based Augmentation Method in Astronomical ImagingCode0
A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image Classification—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