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 9911000 of 10420 papers

TitleStatusHype
WaterMAS: Sharpness-Aware Maximization for Neural Network Watermarking0
Have Large Vision-Language Models Mastered Art History?0
LowFormer: Hardware Efficient Design for Convolutional Transformer BackbonesCode1
PEPL: Precision-Enhanced Pseudo-Labeling for Fine-Grained Image Classification in Semi-Supervised LearningCode0
The AdEMAMix Optimizer: Better, Faster, OlderCode2
Inference-Scale Complexity in ANN-SNN Conversion for High-Performance and Low-Power ApplicationsCode0
Non-Uniform Illumination Attack for Fooling Convolutional Neural NetworksCode0
iConFormer: Dynamic Parameter-Efficient Tuning with Input-Conditioned Adaptation0
Boosting Generalizability towards Zero-Shot Cross-Dataset Single-Image Indoor Depth by Meta-Initialization0
Compressed learning based onboard semantic compression for remote sensing platformsCode0
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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