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 18111820 of 10420 papers

TitleStatusHype
VisionLLaMA: A Unified LLaMA Backbone for Vision TasksCode3
SURE: SUrvey REcipes for building reliable and robust deep networksCode2
Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation ModelCode0
Stitching Gaps: Fusing Situated Perceptual Knowledge with Vision Transformers for High-Level Image Classification0
HyenaPixel: Global Image Context with ConvolutionsCode0
Decompose-and-Compose: A Compositional Approach to Mitigating Spurious CorrelationCode0
Assessing Visually-Continuous Corruption Robustness of Neural Networks Relative to Human Performance0
Generalizable Whole Slide Image Classification with Fine-Grained Visual-Semantic InteractionCode1
Orchid: Flexible and Data-Dependent Convolution for Sequence Modeling0
Classes Are Not Equal: An Empirical Study on Image Recognition Fairness0
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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