id
related bits
0
processing priority
3
site type
0 (generic, awaiting analysis)
review version
11
html import
20 (imported)
first seen date
2024-12-30 07:22:24
expired found date
-
created at
2024-12-30 07:22:24
updated at
2024-12-30 07:22:25
length
24
crc
6970
tld
86
nm parts
0
nm random digits
0
nm rare letters
0
is subdomain of id
87719371 (github.io)
previous id
0
replaced with id
0
related id
-
dns primary id
0
dns alternative id
0
lifecycle status
0 (unclassified, or currently active)
deleted subdomains
0
page imported products
0
page imported random
0
page imported parking
0
count skipped due to recent timeouts on the same server IP
0
count content received but rejected due to 11-799
0
count dns errors
0
count cert errors
0
count timeouts
0
count http 429
0
count http 404
0
count http 403
0
count http 5xx
0
next operation date
-
server bits
—
server ip
-
mp import status
20
mp rejected date
-
mp saved date
-
mp size orig
17751
mp size raw text
4730
mp inner links count
0
mp inner links status
1 (no links)
title
Mismatch Quest
description
Mismatch Quest
site name
author
updated
2026-01-06 23:59:21
raw text
Mismatch Quest Mismatch Quest: Visual and Textual Feedback for Image-Text Misalignment Brian Gordon * , Yonatan Bitton * , Yonatan Shafir , Roopal Garg , Xi Chen , Dani Lischinski , Daniel Cohen-Or , Idan Szpektor , Tel Aviv University, The Hebrew University of Jerusalem, Google Research, * Equal Contribution arXiv Code 🤗 Dataset We propose enhancing traditional image-text alignment models by introducing a feedback mechanism that not only scores but also describes and visually annotates discrepancies between images and text. Our method utilizes large language models and visual grounding models to automatically generate a training set (TV-Feedback dataset) with plausible misaligned captions, along with textual explanations and visual indicators. We also provide a human-curated test set (SeeTRUE-Feedback) with authentic textual and visual misalignment annotations. Abstract While existing image-text alignment ...
redirect type
0 (-)
block type
0 (no issues)
detected language
1 (English)
category id
AI [en] (229)
index version
2025123101
spam phrases
0
text nonlatin
0
text cyrillic
0
text characters
3673
text words
607
text unique words
295
text lines
59
text sentences
26
text paragraphs
12
text words per sentence
23
text matched phrases
2
text matched dictionaries
2
links self subdomains
0
links other subdomains
1 - cs.huji.ac.il
links other domains
4 - roopalgarg.com, research.google, danielcohenor.com, flaticon.com
links spam adult
0
links spam random
0
links spam expired
0
links ext activities
1
links ext ecommerce
0
links ext finance
0
links ext crypto
0
links ext booking
0
links ext news
0
links ext leaks
0
links ext ugc
8 - linkedin.com
links ext klim
0
links ext generic
0
dol status
0
dol updated
2026-01-06 23:59:21
rss path
rss status
1 (priority 1 already searched, no matches found)
rss found date
-
rss size orig
0
rss items
0
rss spam phrases
0
rss detected language
0 (awaiting analysis)
inbefore feed id
-
inbefore status
0 (new)
sitemap path
sitemap status
1 (priority 1 already searched, no matches found)
sitemap review version
1
sitemap urls count
0
sitemap urls adult
0
sitemap filtered products
0
sitemap filtered videos
0
sitemap found date
-
sitemap process date
-
sitemap first import date
-
sitemap last import date
-