A research poster titled "Can we find a universal pruned VLM?" is displayed at a conference booth, featuring work from Cisco, Università di Trento, and Fondazione Bruno Kessler. The poster discusses challenges in Vision-Language Model (VLM) pruning, emphasizing speed and practicality. Illustrations compare task-specific VLM pruning and task-agnostic vision-language pruning methods, showcasing improvements in processing various visual tasks. The detailed diagrams and colorful visuals aim to explain the concept and highlight the proposed solutions by the researchers. A person stands in front of the poster, partially obscuring part of it.
Text transcribed from the image:
CISCO
UNIVERS
RSITAS
ATHE
UNIVERSITÀ
DI TRENTO
FONDAZIONE
BRUNO KESSLER
1 Some problems in VLM Pruning
Speed: Prior works focus on gradually pruning during
training. Practicality: one must re-prune whenever the
downstream task changes.
Can we find a universal
pruned VLM?
Task-Specific VLM Pruning (current)
t₁
CAPTIONING
Dense VLM
YAMAHA
"a brown tower
with a clock on top."
"A plate of food and
a glass of liquid."
"a cat lying down
on a bicycle seat."
Pruned
VLM
t2
RETRIEVAL
Pruned
VLM
VQA
"How many street
lights do you see?"
"One."
Pruned
VLM
Task-Agnostic Vision-Language Pruning (ours)
Dense VLM
"a group of buildings
under nice blue sky."
Pruned
VLM
CA
MULTIFLOW: Shiftin
Matteo Farina, Massimilia
(1) University
D
"Giraffes graze on
ow shrubs under
9
Dense
VLM