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 31513160 of 10420 papers

TitleStatusHype
Diving into Optimization of Topology in Neural Networks0
DISCO: Distributed Inference with Sparse Communications0
Block-wise Scrambled Image Recognition Using Adaptation Network0
DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning0
Disaggregated Deep Learning via In-Physics Computing at Radio Frequency0
Block-term Tensor Neural Networks0
DM-CT: Consistency Training with Data and Model Perturbation0
DMSANet: Dual Multi Scale Attention Network0
An Efficient Technique for Image Captioning using Deep Neural Network0
Explaining Convolutional Neural Networks by Tagging Filters0
Show:102550
← PrevPage 316 of 1042Next →

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
10RevCol-HTop 1 Accuracy90Unverified