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 611620 of 10419 papers

TitleStatusHype
The Impact of Generalization Techniques on the Interplay Among Privacy, Utility, and Fairness in Image Classification0
Does VLM Classification Benefit from LLM Description Semantics?Code1
Semi-Supervised Risk Control via Prediction-Powered Inference0
On the Generalizability of Iterative Patch Selection for Memory-Efficient High-Resolution Image ClassificationCode0
Linked Adapters: Linking Past and Future to Present for Effective Continual Learning0
CATALOG: A Camera Trap Language-guided Contrastive Learning ModelCode0
RapidNet: Multi-Level Dilated Convolution Based Mobile BackboneCode1
Err on the Side of Texture: Texture Bias on Real DataCode0
MVQ:Towards Efficient DNN Compression and Acceleration with Masked Vector Quantization0
Robust image classification with multi-modal large language models0
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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