Papers › Open-world Text-specified Object Counting

Open-world Text-specified Object Counting

2 Jun 2023arXiv:2306.01851archive 2025-07-28

Niki Amini-Naieni, Kiana Amini-Naieni, Tengda Han, Andrew Zisserman

Our objective is open-world object counting in images, where the target object class is specified by a text description. To this end, we propose CounTX, a class-agnostic, single-stage model using a transformer decoder counting head on top of pre-trained joint text-image representations. CounTX is able to count the number of instances of any class given only an image and a text description of the target object class, and can be trained end-to-end. In addition to this model, we make the following contributions: (i) we compare the performance of CounTX to prior work on open-world object counting, and show that our approach exceeds the state of the art on all measures on the FSC-147 benchmark for methods that use text to specify the task; (ii) we present and release FSC-147-D, an enhanced version of FSC-147 with text descriptions, so that object classes can be described with more detailed language than their simple class names. FSC-147-D and the code are available at https://www.robots.ox.ac.uk/~vgg/research/countx.

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DecoderObjectObject CountingZero-Shot Counting

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Object Counting CARPK CounTX (uses arbitrary text input to specify object to count, used "the cars" for CARPK) MAE 8.13 #8 of 15 Archive leaderboard report
Object Counting CARPK CounTX (uses arbitrary text input to specify object to count, used "the cars" for CARPK) RMSE 10.87 #8 of 15 Archive leaderboard report
Object Counting FSC147 CounTX (uses text descriptions instead of visual exemplars) MAE(test) 15.88 #15 of 19 Archive leaderboard report
Object Counting FSC147 CounTX (uses text descriptions instead of visual exemplars) MAE(val) 17.10 #15 of 19 Archive leaderboard report
Object Counting FSC147 CounTX (uses text descriptions instead of visual exemplars) RMSE(test) 106.29 #15 of 19 Archive leaderboard report
Object Counting FSC147 CounTX (uses text descriptions instead of visual exemplars) RMSE(val) 65.61 #15 of 19 Archive leaderboard report

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