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 27612770 of 10420 papers

TitleStatusHype
Exploring Data Redundancy in Real-world Image Classification through Data SelectionCode0
Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy ImitationCode0
Meta-Gating Framework for Fast and Continuous Resource Optimization in Dynamic Wireless Environments0
Towards quantum enhanced adversarial robustness in machine learning0
To Spike or Not to Spike? A Quantitative Comparison of SNN and CNN FPGA Implementations0
Data-Free Backbone Fine-Tuning for Pruned Neural NetworksCode0
Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation ModelsCode1
Training Transformers with 4-bit IntegersCode1
Efficient Deep Spiking Multi-Layer Perceptrons with Multiplication-Free InferenceCode0
A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking0
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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
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified