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 14511460 of 10420 papers

TitleStatusHype
LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity SynchronizationCode0
A Neurosymbolic Framework for Bias Correction in Convolutional Neural Networks0
Grounding Stylistic Domain Generalization with Quantitative Domain Shift Measures and Synthetic Scene ImagesCode0
Class Machine Unlearning for Complex Data via Concepts Inference and Data Poisoning0
Harnessing Increased Client Participation with Cohort-Parallel Federated Learning0
CLIP model is an Efficient Online Lifelong LearnerCode0
Transformer-based Federated Learning for Multi-Label Remote Sensing Image Classification0
What Do You See? Enhancing Zero-Shot Image Classification with Multimodal Large Language ModelsCode0
Exposing Image Classifier Shortcuts with Counterfactual Frequency (CoF) Tables0
EMR-Merging: Tuning-Free High-Performance Model MergingCode2
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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