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 38263850 of 10420 papers

TitleStatusHype
Exploiting Web Images for Dataset Construction: A Domain Robust Approach0
Detached Error Feedback for Distributed SGD with Random Sparsification0
Exploration of Multi-Scale Image Fusion Systems in Intelligent Medical Image Analysis0
Exploration of Noise Strategies in Semi-supervised Named Entity Classification0
Explore the Effect of Data Selection on Poison Efficiency in Backdoor Attacks0
An Analysis of Pre-Training on Object Detection0
Explore the Power of Dropout on Few-shot Learning0
Exploring Adversarial Attacks against Latent Diffusion Model from the Perspective of Adversarial Transferability0
CoLa-DCE -- Concept-guided Latent Diffusion Counterfactual Explanations0
Exploring Camera Encoder Designs for Autonomous Driving Perception0
Exploring Category-correlated Feature for Few-shot Image Classification0
Exploring Cross-Domain Pretrained Model for Hyperspectral Image Classification0
Exploring Data Augmentations on Self-/Semi-/Fully- Supervised Pre-trained Models0
AdaScale SGD: A Scale-Invariant Algorithm for Distributed Training0
Exploring Deep Learning Methods for Classification of SAR Images: Towards NextGen Convolutions via Transformers0
Exploring Effects of Hyperdimensional Vectors for Tsetlin Machines0
Exploring Emerging Trends and Research Opportunities in Visual Place Recognition0
Detecting Novelties with Empty Classes0
Exploring Explainability Methods for Graph Neural Networks0
Detecting Localized Adversarial Examples: A Generic Approach using Critical Region Analysis0
Collage Inference: Achieving low tail latency during distributed image classification using coded redundancy models0
Exploring Feature Reuse in DenseNet Architectures0
Collage Inference: Using Coded Redundancy for Low Variance Distributed Image Classification0
Beyond the Visible: Multispectral Vision-Language Learning for Earth Observation0
AHA! an 'Artificial Hippocampal Algorithm' for Episodic Machine Learning0
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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