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 28712880 of 10420 papers

TitleStatusHype
FlexRound: Learnable Rounding based on Element-wise Division for Post-Training QuantizationCode0
Label-Retrieval-Augmented Diffusion Models for Learning from Noisy LabelsCode1
Bytes Are All You Need: Transformers Operating Directly On File Bytes0
Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANNCode1
Breast Cancer Detection and Diagnosis: A comparative study of state-of-the-arts deep learning architectures0
The Tunnel Effect: Building Data Representations in Deep Neural Networks0
Data Representations' Study of Latent Image ManifoldsCode0
Exploring Regions of Interest: Visualizing Histological Image Classification for Breast Cancer using Deep Learning0
A Computational Account Of Self-Supervised Visual Learning From Egocentric Object Play0
Machine learning with tree tensor networks, CP rank constraints, and tensor dropout0
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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