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 81768200 of 10420 papers

TitleStatusHype
Beyond image classification: zooplankton identification with deep vector space embeddings0
Non-imaging single-pixel sensing with optimized binary modulation0
PolSAR Image Classification Based on Dilated Convolution and Pixel-Refining Parallel Mapping network in the Complex DomainCode0
Anchor Loss: Modulating Loss Scale based on Prediction DifficultyCode0
Image Recognition using Region Creep0
Constrained deep neural network architecture search for IoT devices accounting hardware calibration0
Augmenting the Pathology Lab: An Intelligent Whole Slide Image Classification System for the Real World0
Unsupervised Deep Features for Privacy Image Classification0
Scaling-Translation-Equivariant Networks with Decomposed Convolutional Filters0
AHA! an 'Artificial Hippocampal Algorithm' for Episodic Machine Learning0
Tag-based Semantic Features for Scene Image Classification0
A Layered Architecture for Active Perception: Image Classification using Deep Reinforcement Learning0
Understanding and Robustifying Differentiable Architecture SearchCode0
Defending Against Physically Realizable Attacks on Image ClassificationCode0
Understanding Architectures Learnt by Cell-based Neural Architecture SearchCode0
Toward Robust Image Classification0
Timage -- A Robust Time Series Classification PipelineCode0
Data Augmentation Revisited: Rethinking the Distribution Gap between Clean and Augmented Data0
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAMLCode1
Utilizing Dependence among Variables in Evolutionary Algorithms for Mixed-Integer Programming: A Case Study on Multi-Objective Constrained Portfolio Optimization0
Large e-retailer image dataset for visual search and product classification0
Ludwig: a type-based declarative deep learning toolboxCode3
Transfer Learning with Dynamic Distribution Adaptation0
They Might NOT Be Giants: Crafting Black-Box Adversarial Examples with Fewer Queries Using Particle Swarm Optimization0
Classification-Specific Parts for Improving Fine-Grained Visual CategorizationCode0
Show:102550
← PrevPage 328 of 417Next →

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