paper-with-me

Image Captioning

33개 벤치마크 · 논문 2,089편 · 이 태스크의 논문 보기 →

Benchmarks

VizWiz 2020 test-dev

결과 50개

COCO Captions

결과 41개

nocaps in-domain

결과 41개

nocaps near-domain

결과 40개

nocaps out-of-domain

결과 40개

nocaps entire

결과 39개

VizWiz 2020 test

결과 13개

nocaps-XD entire

결과 12개

TextCaps 2020

결과 11개

nocaps-XD in-domain

결과 11개

nocaps-XD near-domain

결과 11개

nocaps-val-in-domain

결과 11개

nocaps-val-overall

결과 11개

nocaps-val-near-domain

결과 10개

nocaps-val-out-domain

결과 10개

SCICAP

결과 9개

WHOOPS!

결과 6개

MS-COCO

결과 3개

Object HalBench

결과 3개

nocaps val

결과 3개

COCO Captions test

결과 2개

Conceptual Captions

결과 2개

FlickrStyle10K

결과 2개

Localized Narratives

결과 2개

AIC-ICC

결과 1개

ChEBI-20

결과 1개

IU X-Ray

결과 1개

MSCOCO

결과 1개

Peir Gross

결과 1개

Most implemented

Papers

ViD: Vision-Dominant Gender Bias Mitigation for Large Vision-Language Models

2026-09-15 · Zhipeng Zhao, Zhaoqiang Wei, Peishun Liu, Youwei Zhao 외 arxiv

Gender bias in large vision-language models (LVLMs) undermines their fairness and reliability, compromising output trustworthiness. Current mitigation methods rely on training-phase adjustments or post-hoc calibration, b…

Visual GroundingImage CaptioningText Generation

SAVOR: Self-Aware Visual Grounding via Confidence-Calibrated Reinforcement Learning for Multimodal Hallucination Mitigation

2026-09-15 · Zixiu Ding, Zilin Zhao, Yingjie He, Xinlang Kang 외 arxiv

Multimodal large language models (MLLMs) have made strong progress on visual question answering and image captioning, yet they still produce fluent claims about objects, attributes, or relations that are not grounded in …

Visual Question AnsweringReinforcement LearningVisual GroundingImage Captioning

FLAT: Resampling Image and Text into 1D Flexible-Length Aligned Transmodal Tokens for Retrieval and Generation

2026-09-15 · Guangyu Sun, Shlok Kumar Mishra, Wentao Bao, Robert Zhenheng Yang 외 arxiv

Traditional multimodal representation learning and generation are two stages: a contrastive or self-supervised visual encoder is trained first, followed by a separate downstream generative model. This setup bottlenecks g…

Representation LearningCross-Modal RetrievalImage Captioning

A Glance Is All You Need: Single-Pass Fine-Grained Image Captioning with SimLoss

2026-09-01 · Suryaansh Jain, Rahasya Barkur, Vishal G, Ryan Rossi 외 hf

An image may be worth a thousand words, but most captioning models describe it in only a few. Modern vision-language models produce fluent high-level captions, yet routinely miss the attributes, counts, textures, materia…

Image Captioning

Mapping Written Words to Spoken Words in a Different Language Using Only Visual Grounding

2026-08-27 · Gabriel Pirlogeanu, Dan Oneata, Horia Cucu, Herman Kamper arxiv

In many low-resource settings, even just eliciting speech for data collection is difficult. One promising approach has been to ask speakers to describe images. But how do we build models from such visually grounded speec…

Visual GroundingImage CaptioningKeyword Spotting

Overview of SHROOM-Visions 2026: A Shared Task on Hallucination Detection in Large Vision-Language Models

2026-08-26 · Raúl Vázquez, Aman Sinha, Chuyuan Li, Claudio Savelli 외 arxiv

In 2026, we held the fourth iteration of the SHROOM Shared Task series: SHROOM-Visions (\textbf{S}hared-task on \textbf{H}allucinations and \textbf{R}elated \textbf{O}bservable \textbf{O}vergeneration \textbf{M}istakes i…

Image CaptioningText Generation

전체 2,089편 보기 →